|Publication number||US5539482 A|
|Application number||US 08/025,423|
|Publication date||Jul 23, 1996|
|Filing date||Mar 1, 1993|
|Priority date||Feb 28, 1992|
|Publication number||025423, 08025423, US 5539482 A, US 5539482A, US-A-5539482, US5539482 A, US5539482A|
|Inventors||Andrew C. James, Teddy L. Maddess|
|Original Assignee||The Australian National University|
|Export Citation||BiBTeX, EndNote, RefMan|
|Patent Citations (5), Referenced by (100), Classifications (10), Legal Events (6)|
|External Links: USPTO, USPTO Assignment, Espacenet|
This invention concerns the detection of damage to the retina of the human eye by the disease glaucoma. More particularly, it concerns a method and apparatus whereby a person suffering from glaucoma can be diagnosed rapidly and objectively while the disease is in its early stages, thus improving the prospects for successful treatment to reduce the progress of the disease and prevent the irreversible blindness that is a characteristic of glaucoma.
In the human eye, the final stage of image processing in the retina is performed by retinal ganglion cells. The axons of the ganglion cells project out of the eye to form the optic nerve. Glaucoma, which produces irreversible blindness if not treated early enough, destroys these ganglion Cells. A typical "early" sign of glaucoma is the loss of a portion of the peripheral visual field, referred to as "scotoma". Unfortunately, by the time a scotoma is detected, the disease has reached a stage where treatment can at best prevent further irreversible blindness.
A symptom of glaucoma is an increase in the patient's intraocular tension. Thus one approach that is used to screen patients for glaucoma at an earlier stage than when a scotoma has developed is to test the intraocular tension of a patient. The measurement of intraocular tension, however, usually involves the use of drugs, is time consuming, and is unpleasant for the patient.
Moreover, some glaucoma patients do not exhibit intraocular tensions above about 21 mm of mercury (such patients have what is called "normal-tension glaucoma"). Thus, testing the intraocular tension of a person is not a reliable method for the early detection of glaucoma.
Another proposal for the early detection of glaucoma has involved the assessment of colour vision defects. Simple tests of colour vision defects, however, have shown a lack of correlation between the defects noted and the presence of optic disc cupping. More complex tests of colour vision defects, which involve anomaloscopy, ere too difficult for clinical use. Moreover, those tests cannot differentiate between colour vision defects caused by glaucoma and colour deficits resulting from amblyopia and optic neuritis. In addition, it has been reported that up to 25 per cent of patients who have glaucomatous scotoma exhibit no colour deficit. Thus assessment of colour deficits in a person's vision is not a reliable method of detecting glaucoma in its early stages, even if it should become practical to perform detailed colour vision tests clinically.
Another conventional method for determining whether an eye has been damaged by glaucoma involves the use of perimetry. In a typical perimetric investigation, a patient is presented with a series of small luminous dots projected onto a screen which has been placed in front of the patient. The patient's vision is assessed on the basis of whether the patient testifies to seeing each dot as it is presented. This procedure, being a serial search, is very time consuming and is prone to errors arising from subjects' fallibility. Moreover, this technique is not primarily designed for assessing glaucomatous damage but rather for assessing localised blind spots, which can arise from a variety of retinal and central nervous system disorders that affect vision. In particular, perimetric investigations take no account of the spatial scale of the visual system, for they typically use the same size dots in all parts of the visual field, and thus they do not investigate whether any particular visual subsystem has been damaged by glaucoma.
The prime object of the present invention is the provision of a rapid and reliable test for glaucoma which is specific to this disease and which is effective at the early stages of glaucoma. A secondary object of the present invention is the provision of a reliable test for glaucoma which permits the parallel assessment of multiple parts of the visual field of a subject at the same time with multiple stimuli presented simultaneously to different parts of the visual field, thus avoiding the need for a series of stimuli to be tested to build up a map of deficits to the visual field.
To achieve the prime objective, the present invention utilises electroretinogram measurements during the observation, by a subject, of stimuli having a spatial distribution and a spatio-temporal structure that are tailored to a visual subsystem which is highly likely to indicate the presence of damage due to glaucoma. In particular, the present invention uses special visual stimuli, presented to different portions or "zones" of the visual field, in pattern electroretinogram measurements. The special visual stimuli are established using data obtained from observations of a geometric interference phenomenon, known as "aliasing", that is believed to be affected by the number of large ganglion cells present in the retina, to provide an indication of the areal density of My cells on the retina of the subject. This data or information is the used to set the spatial scale of the patterns presented to each zone of the visual field and also to each part of the retina of the eye, in a novel pattern electroretinogram (PERG) measurement.
Thus the responses obtained to the simultaneously presented PERG patterns are particularly suited to assess the presence of damage to the retinal ganglion cells in each part of the retina onto which the simultaneously presented PERG patterns project.
According to the present invention, there is provided a method of assessing the presence of glaucomatous damage to the visual system of a subject, the method comprising the steps of:
(a) dividing the visual field of view of the subject into a number of zones;
(b) generating, using data about the areal density of retinal ganglion cells on the retina of the human eye, such data being obtained from determinations of the critical spatial frequency (Nyquist frequency) of persons with normal vision, a set of visual stimuli signals which, on the basis of the measured areal density of receptors, should elicit an electroretinogram response signal from the subject;
(c) applying each of the visual stimuli signals to a respective one of the zones of the field of view of the eye of the subject, and obtaining a pattern electroretinogram response signal which can be decomposed into components, each component relating to a respective one of the zones; and
(d) comparing the electroretinogram response amplitudes and phases for the zones and the expected response components for the zones, and noting any significant difference between the observed and the expected response amplitude and phase of any zone of the visual field, any such difference indicating a change in the My cell function in that zone, which is attributable to the effect of glaucoma on the subject.
Preferably the application of the visual stimuli signals to the zones of the visual field is effected simultaneously, and the responses to the stimuli signals are measured simultaneously using a single electrode mounted on the cornea or sclera of the subject.
It is also preferred that the application of the visual stimuli is such that the visual stimulus signal applied to one zone of the visual field is orthogonal to the visual stimulus signal that is applied to the adjacent zone or zones. In this case the stimuli are orthogonal in the sense that the inner product between any two of the functions describing the time varying contrast in each region is equal to zero. Such orthogonal stimuli signal application can conveniently be effected by modulating the contrast of each region with a different temporal frequency in the range of from 10 Hz to 45 Hz, preferably in the range of from 22 Hz to 24 Hz.
It is also preferred that the strength of the response signals is measured (examined) at the second harmonic of each stimulus frequency, since the the spatial frequency doubled illusion is a frequency doubled temporal response.
The spatial frequencies used in feature (b) of this invention were determined by the mean eccentricity of each zone, and represent half the value of the critical spatial frequency predicted for each such eccentricity.
The reasoning which led to the development of the present invention is provided below.
It has been known for many years that psycho-physical phenomena are observed by a subject with normal vision who is presented with particular optical patterns. For example, in 1966, D H Kelly reported, in his paper entitled "Frequency doubling in visual responses" (which was published in the Journal of the Optical Society of America, Volume 56, page 1628, 1966), that when sinusoidal grating patterns with spatial frequencies below a few cycles per degree are modulated so that the contrast between the bars or striations of the pattern is varied at rates higher than 10 Hz, the grating patterns appear as spatial frequency-doubled sinusoids to persons of normal vision. D H Kelly's subsequent work (reported in his paper entitled "Nonlinear visual responses to flickering sinusoidal gratings", which was published in the Journal of the Optical Society of America, Volume 71, page 1051, 1981) has shown that this second-harmonic distortion of the human visual response is due to the optical pathway between the eye and the brain having both a linear component and a non-linear component.
It is also known that the retinal ganglion cells of higher primates, including humans, are of two types, namely "M" type ganglion cells and "P" type ganglion cells, each of which respond to visual stimuli. However, the P type ganglion cells respond in a sluggish manner and do not contribute to the production of the images with which the present invention is concerned. The M type ganglion cells consist of "y-type" ganglion cells (usually designated "My " cells) and "x-type" ganglion cells (usually designated "Mx " cells). There are significantly fewer My cells than Mx cells. Recent work by the present inventors has shown that the My cells are responsible for the non-linear component of the optical pathway, while the Mx cells primarily respond in a linear fashion. Of more relevance to the present invention has been the demonstration by the present inventors that the PERG signals measured, with the spatial scales set as they are, display properties (in particular a characteristic phase advance with increasing stimulus contrast) which indicate that these PERG signals are dominated by My cells responses rather than any other type of retinal ganglion cell. Recent work has also indicated that patients having glaucoma also suffer a diffuse, and not just a localised, loss of ganglion cells. In addition, there is data available, from experimental work with primates, to show that the retinal ganglion cells are killed at the onset of glaucoma in proportion to their size (see the paper by Y Glovinsky et al, entitled "Chromic glaucoma damages large optic nerve fibres", which was published in Investigative Ophthalmology and Visual Science, Volume 32, page 484, 1991). Furthermore, three separate recent reports of single cell electrophysiological studies all indicate that My cells are larger than Mx cells by virtue of their larger receptive field size and more rapid conduction velocities. Those three reports are (i) the paper by E Kaplan and R M Shapley, entitled "X and Y cells in the lateral geniculate nucleus of macaque monkeys", which was published in Journal of physiology, Volume 330, page 125, 1982; (ii) the paper by R T Marrocco et al, entitled "Spatial summation and conduction latency classification of cells of the lateral geniculate nucleus of macaques", which was published in Journal of Neuroscience, Volume 2, page 1275, 1982; and (iii) the paper by C Blakemore and F Vital-Duran, entitled "Organization and post-natal development of the monkey's lateral geniculate nucleus", which was published in Journal of Physiology, Volume 380, page 453, 1986. Since My cells are the largest of the retinal ganglion cells, it is a logical conclusion that the My cells will be amongst the first cells killed at the onset of glaucoma.
Another factor which makes examination of the My Cell function attractive from the point of glaucoma diagnosis is that the coverage factor of My cells is very low. This was shown by Crook et al in their paper entitled "Visual resolution of macaque retinal ganglion cells", which was published in Journal Of Physiology, Volume 396, page 205, 1988. This factor indicates that the loss of even a single cell will lead to a distinct scotoma in the lattice of My cell receptive fields.
A further observation, which makes the frequency-doubled illusion and My cells interesting from the perspective of glaucoma diagnosis, is that other neurological disorders which commonly produce visual deficits do not affect vision in this spatio-temporal region, and it is vision in this spatio-temporal region that is necessary for seeing the frequency doubling illusion. For example, amblyopia, Optic neuritis and Parkinson's disease do not appear to affect the patient's perception of rapidly flickered coarse patterns. This conclusion is supported by the information contained in (i) the paper by Hess et al entitled "On the relationship between pattern and movement perception in strabismic amblyopia", which was published in Vision Research, Volume 18, page 375, 1978, (iii) the paper by R F Mess and G Plant entitled "The effect of temporal frequency variation on the threshold contrast sensitivity deficits in optic neuritis", which was published in Journal of Neurology, Neurosurgery and Psychiatry, Volume 46, page 322, 1983, and also the paper by G K Edgar et al entitled "Optic neuritis, variations in temporal modulation sensitivity with retinal eccentricity", which was published in Brain, Volume 113 page 487, 1990, and (iii) the paper by Marx et al entitled "Temporal frequency-dependent VEP changes in Parkinson's disease", which was published in Vision Research, Volume 26, page 185, 1986. Thus, stimuli which are designed to produce the frequency-doubled illusion may stimulate a visual pathway that is highly sensitive to glaucomatous damage, and the results of any test for glaucoma which is based on such stimuli are unlikely to be significantly affected by other neurological disorders that modify vision. Indeed, in the specification of Australian patent No 611,585 and in the specification of the corresponding U.S. Pat. No 5,065,767, one of the present inventors has shown that the deficits in the ability of persons to see the frequency doubled illusion are highly correlated with glaucomatous damage.
Further evidence that the frequency doubled illusion arises in the retina rather than at a more central level comes from pattern electroretinogram studies. In several such recent studies, investigators using PERG techniques have adjusted the spatial scale and temporal modulation frequency of their visual stimuli in an attempt to find stimulus conditions which better discriminate between glaucomatous end normal eyes (see, for example, the paper by M A Johnson et al entitled "Pattern-evoked potentials and optic nerve fiber loss in monocular laser-induced glaucoma", which was published in Investigative Ophthalmology and Visual Science, Volume 30, page 897, 1989). Although their studies did not encompass the region where the frequency doubled illusion was strongest, these workers have shown that as stimulus conditions approach those required to see the frequency doubled illusion (that is, low spatial frequencies and high temporal frequencies), their ability to discriminate between glaucomatous and normal, healthy eyes was enhanced.
Thus, the present inventors concluded, stimuli which are designed to maximally evoke the frequency doubled illusion from each part of the retina will enhance the value of the electroretinogram signal. If the use of such stimuli is combined with a method which allows independent measurement of the response to these stimuli in each region of the visual field, even better detection of early glaucomatous damage should be possible.
The present inventors then hypothesised that, if this conclusion is correct,
(a) a diffuse loss of ganglion cells over the retina will affect My cells more than Mx cells in the early stages of glaucoma, so it should be easier to measure a change in the non-linear component of the visual pathway because it will occur at twice the modulation frequency of the stimulus signal, and thus glaucoma sufferers will have a different second harmonic response to intensity modulated patterns from that of persons with normal vision especially if the spatial scale of the stimulus patterns is set by consideration of the areal density of My cells, in which case the PERG responses that are recorded will reflect their activity;
(b) the temporal correlate of the spatial frequency doubled illusion described by Kelly would be a frequency doubled temporal modulation of the pattern electroretinogram, provided the stimuli are appropriately scaled (otherwise the responses of inappropriate retinal ganglion cells would dominate the second harmonic response);
(c) the different second harmonic visual response should be exhibited at an early stage of glaucoma, and well before the loss of ganglion cells is sufficient to produce a scotoma; and
(d) the different second harmonic visual response should not be exhibited by patients suffering from amblyopia, optic neuritis or Parkinson's disease.
On the basis of this hypothesis, the present inventors devised a method for detecting the occurrence of glaucoma in a subject which involves measuring a parameter that represents the density of the My cells and using that measured parameter to construct a number of visual patterns (typically, but not necessarily, grating patterns) which have a spatial distribution that is matched to the spatial distribution of the My cells in different zones of the field of view of the human eye. The contrast of these patterns, the distribution and scale of which matches that of the My Cells, is then modulated in time and a novel pattern electroretinogram technique is used to measure the second harmonic or frequency doubled response to each spatially matched region. Particular features of the measurement procedure are (a) that the visual patterns or stimuli for the multiple regions in the field of view, and the scale and position of each region, are set to elicit the maximum response from My cells at every retinal position, and (b) that the PERG response to each of the regions of the stimulus image is measured at the same time, preferably using a single electrode mounted on the cornea, and that the frequency doubled or second harmonic response from each region is used as the measure of the respective response.
Now a parameter that is believed to be directly related to the angular separation of ganglion cells is the critical frequency at which the phenomenon known as "aliasing" or "spatial aliasing" occurs. Spatial aliasing can manifest itself as an apparent reversal of the direction in which a grating pattern is drifted across the visual field of a subject. This optical illusion arises when the density of an array of samplers is insufficient to reconstruct the highest spatial frequency detected by an individual sampler. Strictly speaking, a two dimensional array of samplers will be able to provide veridical information about an input frequency up to a spatial frequency which is exactly equal to half the frequency defined by the coarsest or widest separated rows of nearest neighbour detectors in the sampling lattice, which in this case is the lattice of My cells. This critical sampling limit is often called the Nyquist frequency, although it is more aptly termed the "critical spatial frequency". It is represented in this specification by the symbol Sc.
If My cells constitute only 1 per cent of all ganglion cells, then they must alias because the highest spatial frequency to which the individual cells can respond is about 6 to 8 times higher than the Nyquist frequency necessarily imposed by their low areal density. Under these circumstances, a variety of effects should occur. One of the most interesting of these effects is that a moving sinusoidal intensity grating pattern which has a spatial frequency that is above the cut-off frequency of the sampling array (but less than twice the sampling frequency) will be seen as a lower spatial frequency pattern moving in a different direction. For a one-dimensional array of sampling elements, the aliased pattern will always drift in the opposite direction.
For a two-dimensional array of sampling elements, the direction of motion will appear to be opposite to actual motion only near the cut-off frequency. The exact interpretation of Sc vis-a-vis the underlying density of the aliasing units depends upon the geometry of the packing of the units or cells in question. The two cases of usual interest are square lattices of sampling units and hexagonal lattices of sampling units. However, it can be shown that a hexagonal sampling lattice with the same density of samplers achieves about 1.075 times higher than a square lattice (see the paper by R M Merserseau, entitled "The processing of hexagonally sampled two-dimensional signals", which was published in Proceedings of the Institute of Electrical and Electronic Engineers, Volume 67, page 930, 1979). Clearly, the effect of the sampling lattice geometry is quite small.
If the frequency doubled percept described above is due to the My retinal ganglion cells, then values of Sc obtained from experiments using the frequency doubled stimulus wall be direct measures of the areal density of the ganglion cell population within the region of the retina tested. In the glaucomatous retina, one can make two predictions about the measured values of Sc. If the My cell losses have occurred at random positions across the retina, the value of Sc should remain fixed but the variance about the measured value of Sc should increase. Alternately, if the cell losses are correlated in some way (for example, if on or off My cells have been selectively damaged), then Sc should shift to lower spatial frequencies or the certainty of Sc would be reduced by random disorder injected into the lattice by neurone death. In principle, this information could be used to assess glaucomatous damage. Obtaining this information and assessing it to discover such variance or shift or reduction of certainty of Sc constitutes a separate aspect of the present invention. However, in the form of the present invention which uses pattern electroretinogram measurements, as described earlier in this specification, the measurements of Sc are used to specify the spatial scale of visual stimuli presented in the zones of the visual field to match the local density of My cells in corresponding patches of the retina. A combination of these two methods is also possible. In such a combination, the spatial grain and/or the regularity of the My cell array is assessed using an electroretinogram recording of retinal responses to drifting frequency-doubled gratings of varied spatial frequencies, by determining the extent of aliasing. In addition, the direction of travel of the aliased image is noted, from observation of the temporal phase of the recorded signals.
As noted above, the present invention requires the establishment of independent visual stimuli, each of which is used in connection with a respective one of a number of regions or zones in the visual field in the generation of a pattern electroretinogram. The size of these regions and the internal structure of these regions are set to be optimal for the My cells using information obtained from aliasing observations. A novel measurement scheme, which permits neural (electrical) responses to each of these stimulus regions to be assessed, preferably at the same time and with a single measurement electrode, is then adopted. To measure pattern electroretinogram responses from each retinal region in parallel, that is to say at the same time while using only one electrode on the eye, rapid data processing and optimal mathematical characteristics are achieved by requiring the functions which describe the temporal modulation of the contrast of adjacent regions of the visual stimulus to be orthogonal. The stimuli temporal modulation functions for each stimulus region should also have the property that responses due to higher order interactions between stimulus regions should also be distinct from the second harmonic response of the pattern electroretinogram (PERG), which is taken to be the temporal correlate of the frequency doubled illusion, provided the spatial scale of the stimulus pattern is designed to match that of the My cells.
Details of some of the work undertaken to verify the present inventors' hypothesis and demonstrate the efficacy of the present invention will now be described with reference to the accompanying drawings.
FIG. 1 is a graphical representation of the results of four experts which were performed to determine the Nyquist frequencies of three subjects.
FIG. 2 is a plot of the variation of the Nyquist frequency with retinal eccentricity for one subject for his nasal visual field.
FIG. 3 shows the variation with frequency of the strength of the Fourier components of the eye of a subject with normal vision.
FIG. 4 is an Argand diagram of data presented in FIG. 3.
FIG. 5 shows the regions of the field of view selected for PERG measurements, and the relative sensitivities of one subject to the visual stimuli used for the PERG evaluation. The variations in the responses to the visual stimuli show that the subject has glaucoma.
FIG. 6 is a presentation of the data obtained, from the same subject who provided the data for FIG. 5, with a conventional "Opticon" perimetry examination.
FIG. 7 is an Argand diagram of the Fourier coefficients of the data shown in FIG. 5.
FIG. 8 presents the same data as that shown in FIG. 5, obtained from another subject with glaucoma.
FIG. 9 is a presentation of data obtained, from the same subject who provided the data shown in FIG. 8, using the conventional "Humphrey" method of retinal examination.
The Critical (Nyquist) frequency was measured for a number of subjects, some of which had normal vision and some of which were suspected of suffering from glaucoma. These data were used to set the spatial scale of the PERG patterns.
In the aliasing experiments, which were conducted to determine the Nyquist frequency, sinusoidal grating patterns were produced, using computerised image-generating techniques, on the screen of a Joyce Electronics cathode ray tube with a (P4) phosphor adjusted to a mean luminance of 297 cd m-2 and having a frame refresh rate of 100 Hz. The grating patterns were viewed through apertures cut in a mask. A few rectangular apertures were used but most experiments involved circular apertures with angular diameters ranging between 1 and 23.6 degrees. Most of the experiments were done with circular apertures having diameters less than 4°. With a few exceptions, the modulation frequency of the grating patterns for the aliasing experiments was 20 Hz and the sinusoidal grating patterns were usually drifted to produce an associated temporal frequency of 1 Hz. However, experiments with other drift frequencies between 0.5 Hz and 4.0 Hz were also conducted. These parameters are in good agreement with those described elsewhere for producing the frequency doubled illusion.
The basic experimental paradigm involved each subject guessing the direction of drift of grating patterns, the contrast of which was modulated at high rates. Subjects signalled their desire to see a new grating pattern by pressing a lever. A tone accompanied the presentation of a new grating pattern. Grating patterns were presented for 2 seconds after which time their contrast was reduced to zero. Subjects could register their opinion of the drift direction of the pattern before the end of the 2 seconds period, in which case a new grating pattern was presented after a hundred milliseconds. After or during the 2 seconds presentation time, the subject had the option of having the same grating presented again, but the direction of drift was randomised for each presentation so that multiple presentations conveyed no information about the direction in a subsequent trial. Typically, nine spatial frequencies were used in each experiment. After the presentation of a set of nine grating patterns, the presentation order was randomised and 30 repetitions of each grating pattern were typically presented. In many cases, the experiments were repeated after periods varying from 1 day to 30 days. The reproducibility of results was found to be very good over these periods.
The data obtained from the aliasing experiments took the form of sigmoidal curves expressing the probability of the subject seeing the correct direction of drift as a function of spatial frequency. A selection of such curves for three subjects (each subject is identified by the initial letters of the subject's name and the age in years of the subject) are shown in FIG. 1. Each ordinate shows the probability of seeing the correct direction of drift of a set of frequency doubled grating patterns. A probability of 0 indicates that a subject consistently sees the incorrect direction. The spatial critical frequency or Nyquist frequency, Sc, was taken as the frequency at P=0.5, which corresponded generally to the point of inflection of each curve. The slope at P=0.5 shows the variance of Sc.
Predictably, the performance of subjects at the critical frequency was found to be completely random. At spatial frequencies below Sc, each subject becomes progressively more accurate (complete accuracy is when P=1.0). At frequencies above Sc, each subject becomes more inaccurate, and is completely incorrect when P=0. The most obvious feature of these tests is that the subjects clearly experienced a reversal of the perceived motion of the grating pattern, and that above a critical spatial frequency of the patterns, ability to guess the correct direction of motion of the pattern went to near 0 probability. Also clear is that the assumptions behind the curve fitting model--fits to 1 minus the normal probability density function (the dashed lines in FIG. 1)--appear to be justified.
Before attempting to assess Sc as a function of retinal eccentricity, several types of control experiments were conducted to check that the motion reversal effect associated with the frequency doubled grating patterns was indeed indicative of aliasing. In the first set of controls, four viewing distances were used: 40.6 cm, 81.3 cm, 163 cm and 325 cm. These four octaves of viewing distance were used in part to provide controls to show that spatial frequency, and not the number of cycles displayed on the screen of the cathode ray tube, was the critical factor in producing the illusory reversal of drift direction. The phenomenon of drift direction reversal as a function of spatial frequency was observed at all of these viewing distances. The measured value of Sc was also found to be independent of drift rate over the three octaves of drift frequency tested (0.5 Hz, 1.0 Hz and 2 Hz). The critical frequency, Sc, was also little affected by grating orientation, or by contrast.
The results of all of these tests taken together strongly indicate that the motion reversal effect is strictly a function of spatial frequency and therefore is most likely to be due to aliasing. These and other experiments showed that it is reasonable to associate the measured values of the critical frequency, Sc, with the density of ganglion cells of the subject.
In some of the experiments where Sc was assessed at large angles of retinal eccentricity, the subjects were asked to fixate a light emitting diode, the brightness of which was subjectively the same as that of the activated phosphor on the screen of the cathode ray tube. The diode was displayed at a distance which was as nearly as was technically possible to the same viewing distance as the c.r.t. screen. Grating patterns were viewed through circular apertures and, at each eccentricity, the aperture size was adjusted to be the smallest aperture in which a practised subject could still reliably perform the psychophysical test. The results of these experiments for the temporal visual field of the subject "tlm" are shown in FIG. 2. Predicted values of Sc as a function of eccentricity, Sc (ecc), were found to be directly related to cell areal density, D(ecc), according to the relationship:
Sc (ecc)=(D(ecc)/2√3)1/2. (1)
It should be noted that the values of Sc (ecc) obtained from Equation (1) assume a hexagonal packing of My cells and are 1.07457 times higher than one would expect for square packed cells with the same local densities. This small change in predicted density does not significantly alter the findings reported below.
Anatomical data from a paper by M Connolly and D Van Essen entitled "The representation of the visual field in parvicellular and magnocellular layers of the lateral geniculate nucleus", (which was published in Journal of Comparative Neurology, Volume 226, page 544, 1984), was used in conjunction with Equation (1) to determine if Sc (ecc) could reasonably be determined by the known anatomical cell densities. At the anatomical level, My cells and Mx cells cannot yet be distinguished. Electrophysiological recordings from single units by a variety of authorities, however, indicate that My cells should be about 10 per cent of all M cells. The solid line in FIG. 2 is a fit based on the data of Connolly and Van Essen, based on the parsimonious assumption that 10 per cent of M cells are My cells at every eccentricity. Clearly the anatomical and Sc (ecc) data are in good agreement, indicating strongly that the source of the frequency doubled illusion is the My cells and the visual stimuli based on this scaling would be optimal for stimulating the my cells at every retinal eccentricity. The actual function describing the solid curve in FIG. 2 is:
It will be noted by persons skilled in this field that the value of 176 in Equation (2) is approximately 1/20th the figure quoted by Connolly and Van Essen for the central density (cells per degree2) of all M cells in the retina, indicating that Equation (2) takes into account one hemifield only and that the My cell density is taken as 1/10 of the total M cell pathway. In general, it can be said that good fits to the Sc (ecc) data can be obtained using Equation (2) and making the assumption that the units involved have a density which is 10 per cent of that for all M cells. Although slight modifications to the parameters used by Connolly and Van Essen were required, all the modifications brought the model parameters examined here closer to the values found by those authors for the P ganglion cells. Thus it may be concluded that the density of units subserving the frequency doubled illusion reported by Kelly is a good match to the probable density of My cells and that, at least in humans, the density of these cells is close to a scalar multiple of the density of both the M and the P retinal ganglion cells.
Having obtained the information on the projected density into visual space of what appears to be the My cells, the present inventors then divided the visual field into nine regions or zones and constructed individual visual stimuli for each of those nine regions. The size of the regions and the spatial frequencies presented in each region were scaled according to the measured values of Sc (ecc).
The size of the regions is graphically represented in FIG. 5. The main features of these regions are (a) that they split the visual field into four quadrants, and (b) that within each quadrant are regions that scale upward in size with increasing eccentricity according to a scalar multiple of the determined values of Sc (ecc). This geometry and segmentation of the visual field thus attempts to capture the main features of glaucomatous field losses, which include (i) differential field losses in the superior and inferior visual field, particularly in the nasal visual field, and (ii) nasal and temporal hemifield defects, such as clear hemianopia or temporal sectoral defects. The radial scaling of region size was designed to provide optimal stimulation of the retinal regions corresponding to the stimulus regions. In the experiments conducted by the present inventors; each region was filled with spatial frequencies which, at the centre of each region, were half the value of Sc (ecc) at that eccentricity. Since glaucomatous scotomas often assume an arc-like appearance, it would be advisable to make the regions elliptically symmetric, but this was not considered to be essential for the demonstration of the efficacy of the present invention.
Having selected a series of visual stimulus patterns for the retinal regions (the patterns were all grating patterns, but it should be apparent to persons skilled in this field that other types of patterns may be used), pattern electroretinogram measurements were then conducted with the subject. The visual stimuli signals were presented on a Barco 7551 colour monitor, the colour temperature of which was calibrated to 5900° K., and the frame rate of which was 100 Hz. This frame rate is about four times the highest stimulus frequency, and is thus about the minimum rate of presentation of data. However, any frequency which is above the Nyquist rate of the desired contrast modulation frequencies can be used as the presentation rate. As in the aliasing experiments, the response of the cathode ray tube screen was linear up to contrasts of at least 80 per cent. At contrasts greater than 80 per cent, the distortion was up to a few per cent. Experiments using a photodiode demonstrated that no significant second harmonic components arose from the cathode ray tubes.
In the pattern electroretinogram (PERG) experiments, to achieve orthogonal stimuli in each visual region, the contrast of each region was modulated with one of nine different temporal frequencies in a narrow band of frequencies in the range of from 22 Hz to 24 Hz. In principle, any band of frequencies in the range of from 10 Hz to 45 Hz could be used to modulate the contrast of each region, since these frequencies have been shown to be where the frequency doubled illusion is visible.
In all the PERG experiments, a conventional corneal electrode was used. However, any suitable electrode arrangement may be adopted when implementing the present invention. It should also be noted that, in clinical implementations of the present invention, it may be advisable with some subjects (namely those who experience difficulty in fixating a central point in the field of view) to monitor the eye movement during the PERG measurements. A conventional electro-oculogram may be used for this purpose. The PERG data will then be modified according to the degree of eye movement of the subject.
Since the temporal correlate of the spatial frequency doubled illusion is a frequency doubled temporal response, provided the spatial scale of the stimulus pattern is designed to match that of the My cells, the present inventors examined the strength of the response signal from each region at the second harmonic of each stimulus frequency. However, to avoid distortion frequencies, arising from second order interactions the simultaneously presented between stimulus regions, being added to or subtracted from the frequency doubled response modulation, it was necessary to choose frequencies such that all possible pair-wise sums were distinct from the second harmonics of the input frequencies. Frequency resolution was set by the length of each PERG stimulus run. Run length was set to 8192 video frames or 40.96 seconds. Responses were then analysed by a fast Fourier transform technique with a resulting frequency resolution of 1/40.96=0.0244 Hz. The response signals obtained from several runs of 40.96 seconds were then averaged and the accumulated averages of the frequency doubled components were displayed on plots of the relevant Fourier coefficients on the complex plane (for example, as shown in FIGS. 4 and 7). These plots are usually termed "Argand diagrams". In an Argand diagram, the contribution of each repetition to the final averaged coefficients can be seen as a vector in the complex plane, showing both amplitude and phase.
The actual significance of the frequency component of a response signal is related to its amplitude, which is the modulus of the Fourier transform coefficient at that frequency, A(f). A test of significance for a particular frequency can be done as follows. Under a null hypothesis of no signal, the real and imaginary parts of the Fourier Transform coefficients, Real (A(f)) and Imag(A(f)), are independent normal variates with zero mean and some variance σ2. The squared modulus of the coefficient, |A(f)|2, is then σ2 times a chi squared variate on 2 degrees of freedom. An estimate s2 of σ2 is obtained from frequencies not in the set of second order stimulus frequencies, say with n degrees of freedom. An F-test is then done on the quotient |A(f)|2 /s2, with (2,n) degrees of freedom. The test can be graphically represented in a clear way since significance of a frequency component occurs if, and only if, the coefficient A(f) lies outside the dashed circle shown on the Argand diagrams of FIGS. 4 and 7.
During both the aliasing and the PERG experiments, all of the subjects being examined held their heads against a standard ophthalmic head rest. In the PERG experiments, standard recording techniques were used, the novel features being the geometry of the visual stimuli and the fact that the PERG frequency components at the second harmonic of the stimulus frequencies were used as the measure of response.
FIG. 3 demonstrates the strength of the Fourier components from each eye region in a normal subject, the second harmonics of the stimulus frequencies being the cluster of peaks in the band 44 to 46 Hz. The significance of these frequency components can be seen in FIG. 4, where the frequencies are represented as vectors in an Argand diagram. The numbers at the head of each vector in FIG. 4 correspond to the stimulus regions evoking the responses. The slightly tortuous path of each frequency represents the path across the complex plane that the individual Fourier coefficients took in the course of the sixteen averages. Thus, unlike the centrally clustered noise frequencies, the frequency components from each stimulus region are highly significant, being well beyond the dashed circle in FIG. 4 which represents significance at the p=0.05 level.
FIG. 5, in addition to showing the nine regions of the visual field selected by the present inventors, illustrates the data obtained from a subject suffering from glaucoma. The results shown are each the average of sixteen experiments each of 40.96 seconds duration. The strength of the PERG signal from each region of stimulus is graphically demonstrated in FIG. 5, where the rectangular regions represent the actual size and distribution of our nine stimulus regions. The grey-scale bar at the bottom of FIG. 5 indicates that the stimulus regions having a grey level which is greater than 23 per cent were significant. Thus, FIG. 4a represents a diagram of the relative sensitivities of different part of the subject's visual field.
FIG. 6 shows the results of a more conventional "Opticon" perimetery examination of the same eye. It will be seen that there is rough agreement between the two methods (note that the radial scale in FIG. 6 is logarithmic and so it is difficult to visually compare the data in FIG. 6 with the date presented in FIG. 5). The major difference between the two results of the two examinations of the subject is the visual field region corresponding to region 6 of FIG. 5. The present inventors cannot account for this discrepancy, particularly because the signal from region 6 was extremely significant (see FIG. 7, which is the Argand diagram for the same subject). Possibly the two methods are measuring different effects. Much better agreement was found between the data obtained for another subject using the present invention (FIG. 8) and the perimetry data obtained for the same subject using the "Humphrey" (program 24/2) method, which is presented as FIG. 9. FIGS. 8 and 9 are drawn to the same scale. It will be noted that the data for every region except region 3 of FIG. 8 is in good agreement with that obtained using the standard ("Humphrey") perimetry analysis technique.
It will be apparent that a comparison of the responses from the various regions of the visual field, presented in FIGS. 5 and 8, demonstrates (i) a variance in the My cell density of each subject and thus (ii) that each of those subjects is suffering from glaucoma. The need for sixteen repeats in the PERG experiments described above was primarily because the electronic equipment used by the present inventors was less than optimal. It was expected that with improvements in the signal detection analysis technique, the number of stimulus regions could be increased and the number of averages required could be reduced to four or less. It was also expected that improved equipment would permit an assessment of the two eyes of a subject to be performed at the same time, and at a wider range of visual eccentricities than is practically allowed by the time constraints of conventional perimetry.
Accordingly, the present inventors conducted a study of 86 other persons, in which the PERG method of the present invention and the Humphrey perimetry technique were both used, and the data obtained by the two techniques were quantitatively compared. Improved recording methods were used in this second study. The 86 subjects were classified into four groups: (1) normals, (2) persons weakly suspected of having glaucoma, (3) strong suspects and (4) persons suffering from glaucoma. Only the glaucoma subjects showed scotomas with the Humphrey perimetry technique. Each strong suspect had other glaucoma symptoms, such as elevated intraocular tension, and also had an observed change in his or her optic disc (determined from repeated photographic records of the optic disc). Weak suspects had no observed change in their optic discs. Only the right eyes of the subjects were used in this study. The "24-2" program of the Humphrey Perimeter technique was used to obtain standard perimetric visual field threshold data from all 86 subjects in the study group. With the improved recording equipment, spatial resolution of the data obtained with the Humphrey perimeter technique was significantly finer than in the previous experiments. This data was used to produce a map of predicted values for each of the nine image regions or "zones" covered by the PERG stimulus. These predicted amplitudes, derived from the perimetry data, were then compared with the data obtained with the PERG method. If the two data should be in good agreement, this would indicate that the PERG method, while being quicker and potentially more objective, was at least as good as the perimetry method in detecting glaucomatous visual field losses.
Regression analysis of the resultant data using "Student's t-test", to obtain "t" and "p" values for the subjects, showed that, in general, the correlation between the two sets of data was very good, with the exception of the data obtained from the strong suspects group. The poor performance of the strong suspects group appears to arise from the initial period of the experiment, when the operator was unfamiliar with the equipment. If data is selected on the basis of the number of PERG zone amplitudes which are significant (see FIG. 7), the significance of the correlation increases. For example, choosing PERG data with three or more significant zone-amplitudes showed that 74.6% of these data have p values of 0.1 or less. If the sample is further restricted to PERG data sets with six or more significant zone amplitudes, the proportion with p<0.1 rises to 85.7%. Strictly speaking, for positive correlations, "t" is a monotonically increasing nonlinear function or correlation. As there are 7 degrees of freedom in all cases examined by the present inventors, the "p" values are also related to the degree of correlation.
Again, it was clear that further averaging or improved recording techniques would improve the correlation. Better recording seems the most likely avenue for enhancement of the PERG method, for amongst the 21 data sets with 7 or more significant (p<0.05) PERG zone amplitudes in this study, the mean number of averages taken was 3.9±1.20 sd, so the good results in the data set are due mainly to good recordings, rather than more extensive averaging.
Thus, it will be seen that the present invention, in providing simultaneous assessment of multiple regions of the visual field of a subject, with respective visual stimuli tailored to the geometry of the regions and to the density of cells with high sensitivity to retinal damage, provides a rapid, objective and sensitive assessment of damage to the eye by glaucoma.
Those skilled in this field will appreciate that the exemplary embodiments of the present invention that have been described above may be modified or varied without departing from the present inventive concept. For example, the number of zones in the visual field of a subject may be other than nine. Indeed, in a new set of PERG experiments, it is proposed to use 32 zones in the visual field.
|Cited Patent||Filing date||Publication date||Applicant||Title|
|US4634243 *||Dec 26, 1984||Jan 6, 1987||Lkc Systems, Inc.||Glaucoma detection utilizing pattern discrimination test|
|US4822162 *||Aug 27, 1987||Apr 18, 1989||Richardson Robert W||Method and device for measuring retinal response as a function of position of the retina|
|US5065767 *||Aug 25, 1989||Nov 19, 1991||The Australian National University||Method for use in diagnosis of glaucoma|
|US5176147 *||Apr 29, 1990||Jan 5, 1993||Bodis Wollner Ivan G||Method and apparatus for detecting optic neuropathy|
|US5233373 *||Jan 23, 1992||Aug 3, 1993||Peters Daniel R||System and method for projecting an image (such as an ERG pattern) significantly anterior to the posterior retina|
|Citing Patent||Filing date||Publication date||Applicant||Title|
|US5912723 *||Apr 28, 1995||Jun 15, 1999||Australian National University Of Acton||Method and apparatus for early detection of glaucoma|
|US6022107 *||Nov 29, 1997||Feb 8, 2000||Cindatec Ingenieurtechnische Dienste Gmbh||Process and system for determining the topography of eye reaction signals|
|US6025829 *||Oct 28, 1996||Feb 15, 2000||Welch Allyn, Inc.||Image generator for video display|
|US6045515 *||Apr 7, 1998||Apr 4, 2000||Lawton; Teri A.||Methods and apparatus for diagnosing and remediating reading disorders|
|US6068377 *||May 14, 1999||May 30, 2000||Visionrx.Com, Inc.||Visual test utilizing color frequency doubling|
|US6213956 *||Jan 24, 2000||Apr 10, 2001||Perception Technologies, Llc||Methods and apparatus for diagnosing and remediating reading disorders|
|US6623118 *||Apr 17, 2001||Sep 23, 2003||Interzeag Ag||Stimulus and method for measuring the field of vision of the human eye|
|US6755529 *||Mar 12, 2002||Jun 29, 2004||Visionrx, Inc.||Method and apparatus for measuring contrast sensitivity|
|US6966650||Jun 27, 2003||Nov 22, 2005||Zongqi Hu||Method and apparatus for an automated procedure to detect and monitor early-stage glaucoma|
|US7220000 *||Feb 19, 2003||May 22, 2007||Notal Vision Inc.||Methods, devices and systems for assessing eye disease|
|US7275830||Oct 7, 2001||Oct 2, 2007||Notal Vision Inc.||Methods devices and systems for detecting eye disease|
|US7334895||Aug 15, 2003||Feb 26, 2008||Ontest Corporation||Method, system and device for detecting ocular dysfunctions|
|US7488073||Oct 16, 2007||Feb 10, 2009||Ontest Corporation||Pupillary reflex-based patient classification|
|US7513622||Oct 4, 2007||Apr 7, 2009||Isport, Llc||System and method of enhancing a retino-geniculo-cortical pathway for a particular physical activity|
|US7524064||Oct 25, 2004||Apr 28, 2009||Research Foundation Of The State University Of New York||Apparatus and method for assessing retinal damage|
|US7575321||Sep 13, 2005||Aug 18, 2009||Welch Allyn, Inc.||Apparatus and method of diagnosis of optically identifiable ophthalmic conditions|
|US7594728||Dec 18, 2006||Sep 29, 2009||Novavision, Inc.||Adjustable device for vision testing and therapy|
|US7621639||Nov 24, 2009||Syed Khizer Rahim Khaderi||Method of developing a visual processing profile based on a retino-geniculo-cortical pathway|
|US7641344||Jul 26, 2005||Jan 5, 2010||Universitat De Valencia||Device and method to determine the contrast sensitivity of an individual's visual system|
|US7642990||Jan 5, 2010||Novavision, Inc.||Method and device for guiding a user's head during vision training|
|US7665847||May 5, 2004||Feb 23, 2010||Reichert, Inc.||Eye mapping|
|US7682021||Mar 23, 2010||Novavision, Inc.||System and methods for the treatment of retinal diseases|
|US7708403||Oct 30, 2003||May 4, 2010||Welch Allyn, Inc.||Apparatus and method for diagnosis of optically identifiable ophthalmic conditions|
|US7748846||Jul 6, 2010||Novavision, Inc.||Dynamic fixation stimuli for visual field testing and therapy|
|US7753524||Jul 13, 2010||Novavision, Inc.||Process and device for treating blind regions of the visual field|
|US7753526||Jul 13, 2010||Novavision, Inc.||Frequency doubling fixation stimuli for visual field testing and therapy|
|US7810928||Oct 12, 2010||Konan Medical Usa, Inc.||Evaluating pupillary responses to light stimuli|
|US7841718||Nov 30, 2010||The Research Foundation Of State University Of New York||Apparatus and method for assessing retinal damage|
|US7874675||Jan 25, 2011||Konan Medical Usa, Inc.||Pupillary reflex imaging|
|US7938539||May 10, 2011||Syed Khizer Rahim Khaderi||Method of developing a visual processing profile based on a retino-geniculo-cortical pathway|
|US8075136||Jul 17, 2009||Dec 13, 2011||Welch Allyn, Inc.||Apparatus and method of diagnosis of optically identifiable ophthalmic conditions|
|US8078433||Dec 13, 2011||Wolfgang Klippel||Optimal estimation of transducer parameters|
|US8083354||Oct 3, 2007||Dec 27, 2011||Diopsys, Inc.||Simultaneously multi-temporal visual test and method and apparatus therefor|
|US8100533||Jan 24, 2012||Diopsys, Inc.||Apparatus and method for screening for glaucoma using visually evoked potentials|
|US8128227||Apr 14, 2009||Mar 6, 2012||The United States Of America As Represented By The Secretary Of Agriculture||Method to detect transmissible spongiform encephalopathies via electroretinogram|
|US8226237||Jul 24, 2012||Reichert, Inc.||Apparatus and method for monitoring the position of a subject's hand|
|US8439501||Jun 4, 2010||May 14, 2013||Welch Allyn, Inc.||Diagnosis of optically identifiable ophthalmic conditions|
|US8702233||Jun 30, 2006||Apr 22, 2014||Novavision, Inc.||Vision exercising apparatus|
|US8702234||Jun 4, 2010||Apr 22, 2014||Welch Allyn, Inc.||Diagnosis of optically identifiable ophthalmic conditions|
|US8807753||Dec 4, 2009||Aug 19, 2014||The Australian National University||Pupillary assessment method and apparatus|
|US9060728||Sep 14, 2012||Jun 23, 2015||Welch Allyn, Inc.||Apparatus for health correlation assessment|
|US20020152398 *||Mar 18, 2002||Oct 17, 2002||Rainer Krumrein||Authorization process for the communication with a data bus|
|US20030020875 *||Jun 10, 2002||Jan 30, 2003||Sperling Harry G.||Spectral pattern ERG for detection of glaucoma|
|US20030149350 *||Feb 3, 2003||Aug 7, 2003||Vittorio Porciatti||Glaucoma screening system and method|
|US20030223038 *||Feb 19, 2003||Dec 4, 2003||Yair Alster||Methods, devices and systems for assessing eye disease|
|US20040075814 *||Oct 7, 2001||Apr 22, 2004||Yair Alster||Methods devices and systems for detecting eye disease|
|US20040105075 *||Aug 15, 2003||Jun 3, 2004||Kandel Gillray L.||Method, system and device for detecting ocular dysfunctions|
|US20040193070 *||Mar 28, 2003||Sep 30, 2004||Meyer Schilder||Systems and methods for detecting and mapping disorders of the macular portion of the retina|
|US20040263780 *||Jun 27, 2003||Dec 30, 2004||Zongqi Hu||Method and apparatus for an automated procedure to detect and monitor early-stage glaucoma|
|US20050094099 *||Oct 30, 2003||May 5, 2005||Welch Allyn, Inc.||Apparatus and method for diagnosis of optically identifiable ophthalmic conditions|
|US20060025658 *||Sep 13, 2005||Feb 2, 2006||Welch Allyn, Inc.||Apparatus and method of diagnosis of optically identifiable ophthalmic conditions|
|US20060092377 *||Jun 15, 2005||May 4, 2006||Todd David P||Method and device for guiding a user's head during vision training|
|US20060283466 *||Jan 31, 2006||Dec 21, 2006||Bernhard Sabel||System and methods for the treatment of retinal diseases|
|US20070171372 *||Dec 18, 2006||Jul 26, 2007||Nonavision, Inc.||Adjustable device for vision testing and therapy|
|US20070182928 *||Jan 31, 2007||Aug 9, 2007||Novavision, Inc.||Process and Device for Treating Blind Regions of the Visual Field|
|US20070216865 *||Mar 21, 2007||Sep 20, 2007||Novavision, Inc.||Process and Device for Apportioning Therapeutic Vision Stimuli|
|US20070236666 *||Jul 26, 2005||Oct 11, 2007||Jose Maria Artigas Verde||Device and Method to Determine the Contrast Sensitivity of an Individual's Visual System|
|US20080013047 *||Jun 29, 2007||Jan 17, 2008||Novavision, Inc.||Diagnostic and Therapeutic System for Eccentric Viewing|
|US20080043201 *||Jul 25, 2007||Feb 21, 2008||Novavision, Inc.||Dynamic fixation stimuli for visual field testing and therapy|
|US20080068561 *||Oct 16, 2007||Mar 20, 2008||Kandel Gillray L||Pupillary reflex-based patient classification|
|US20080077437 *||Jul 24, 2007||Mar 27, 2008||Novavision, Inc.||Process and Method for Providing Incentives to Increase Vision-Therapy Performance|
|US20080084536 *||Oct 4, 2007||Apr 10, 2008||Isport, Llc||System and Method of Enchancing a Retino-Geniculo-Cortical Pathway for a Particular Physical Activity|
|US20080084537 *||Oct 4, 2007||Apr 10, 2008||Isport, Llc||Method of Developing a Visual Processing Profile Based on a Retino-Geniculo-Cortical Pathway|
|US20080177352 *||Jan 22, 2008||Jul 24, 2008||Novavision, Inc.||Device for Treating Human Vision Using Combined Optical and Electrical Stimulation|
|US20080189087 *||Jan 22, 2008||Aug 7, 2008||Wolfgang Klippel||Optimal estimation of transducer parameters|
|US20090091706 *||Oct 3, 2007||Apr 9, 2009||Derr Peter H||Simultaneously multi-temporal visual test and method and apparatus therefor|
|US20090237614 *||Apr 24, 2009||Sep 24, 2009||The Research Foundation Of State University Of New York||Apparatus and method for assessing retinal damage|
|US20090257023 *||Apr 14, 2009||Oct 15, 2009||Greenlee Justin J||Method to Detect Transmissible Spongiform Encephalopathies Via Electroretinogram|
|US20090270717 *||Apr 27, 2009||Oct 29, 2009||Welch Allyn, Inc.||Apparatus and method for diagnosis of optically identifiable ophthalmic conditions|
|US20100014050 *||Jan 21, 2010||Newman Richard W||Apparatus and method of diagnosis of optically identifiable ophthalmic conditions|
|US20100045935 *||Feb 25, 2010||Isport, Llc||Method of developing a visual processing profile based on a retino-geniculo-cortical pathway|
|US20100141894 *||Jun 30, 2006||Jun 10, 2010||Aberdeen University||Vision exercising apparatus|
|US20100238405 *||Sep 23, 2010||Welch Allyn, Inc.||Diagnosis of optically identifiable ophthalmic conditions|
|US20100249532 *||Nov 7, 2008||Sep 30, 2010||Teddy Lee Maddess||Method and Apparatus for Sensory Field Assessment|
|US20100283973 *||May 5, 2009||Nov 11, 2010||Derr Peter H||Apparatus and method for screening for glaucoma using visually evoked potentials|
|DE19649858A1 *||Dec 2, 1996||Jun 4, 1998||Cindatec Ingenieurtechnische D||Verfahren und Anordnung zur Bestimmung der Topographie für Reaktionssignale eines Auges|
|DE19649858C2 *||Dec 2, 1996||May 6, 1999||Cindatec Ingenieurtechnische D||Verfahren und Anordnung zur Bestimmung der Topographie für Reaktionssignale eines Auges|
|DE19855848A1 *||Dec 4, 1998||Jun 8, 2000||Univ Ilmenau Tech||Automatic testing of field of view by generating luminous stimulations and evaluating potential responses of observer|
|DE19959881C1 *||Dec 13, 1999||Oct 18, 2001||Cindatec Ingenieurtechnische D||Verfahren und Anordnung zur Bestimmung der Topographie für Reaktionssignale eines Auges|
|DE19961323A1 *||Dec 9, 1999||Jun 7, 2001||Univ Ilmenau Tech||Method to control viewing field automatically; involves presenting viewer with multifocal pattern of light stimuli and using electro-encephalogram and electroretinogram or magneto-encephalogram|
|DE102007005070A1||Feb 1, 2007||Aug 7, 2008||Klippel, Wolfgang, Dr.||Linear and non-linear parameters e.g. resistance, estimating arrangement for e.g. failure diagnoses of transducer, has nonlinear estimator with output that receives error free nonlinear parameter, even if estimation error occurs|
|DE102007005070B4 *||Feb 1, 2007||May 27, 2010||Klippel, Wolfgang, Dr.||Anordnung und Verfahren zur optimalen Schätzung der linearen Parameter und der nichtlinearen Parameter eines Modells, das einen Wandler beschreibt|
|EP0838193A1 *||Oct 27, 1997||Apr 29, 1998||Welch Allyn, Inc.||Image generator for video display|
|EP1643896A2 *||Jun 16, 2004||Apr 12, 2006||Zongqi Hu||Method and apparatus for an automated procedure to detect and monitor early-stage glaucoma|
|EP1787579A1 *||Jul 26, 2005||May 23, 2007||Universitat de Valencia||Device and method for determining vision contrast sensitivity of an individual|
|EP2017356A2||Jun 6, 2007||Jan 21, 2009||Gen-Probe Incorporated||Tagged oliggonucleotides and their use in nucleic acid amplification methods|
|EP2197338A1 *||Sep 24, 2008||Jun 23, 2010||Diopsys, Inc.||Simultaneously multi-temporal visual test and method and apparatus therefor|
|WO1998024364A1||Nov 29, 1997||Jun 11, 1998||Cindatec Ingenieurtechnische Dienste Gmbh||Process and system for determining the topography of eye reaction signals|
|WO2000069327A1 *||May 13, 2000||Nov 23, 2000||Visionrx.Com, Inc||Visual test utilizing color frequency doubling|
|WO2001039659A1||Dec 1, 2000||Jun 7, 2001||Iouri Malov||Field testing using spread spectrum technique|
|WO2001043637A1||Dec 11, 2000||Jun 21, 2001||Medizin & Service Gmbh||Method and system for determining the topography for reaction signals of an eye|
|WO2001078586A1||Apr 12, 2001||Oct 25, 2001||Stuart Graham||Method and apparatus for objective electrophysiological assessment of visual function|
|WO2003065876A2 *||Feb 3, 2003||Aug 14, 2003||Lace Elettronica S.R.L.||Glaucoma screening system and method|
|WO2003065876A3 *||Feb 3, 2003||Oct 30, 2003||Lace Elettronica S R L||Glaucoma screening system and method|
|WO2006024687A1 *||Jul 26, 2005||Mar 9, 2006||Universitat De Valencia||Device and method for determining vision contrast sensitivity of an individual|
|WO2006106548A1 *||Mar 23, 2006||Oct 12, 2006||Costruzioni Strumenti Oftalmici C.S.O. S.R.L.||Glaucoma screening system and apparatus|
|WO2007109724A1||Mar 21, 2007||Sep 27, 2007||Novavision, Inc.||Process and device for apportioning therapeutic vision stimuli|
|WO2008043029A2 *||Oct 4, 2007||Apr 10, 2008||Isport, Llc||Method of developing a visual processing profile based on a retino-geniculo-cortical pathway|
|WO2009059380A1||Nov 7, 2008||May 14, 2009||The Australian National University||Method and apparatus for sensory field assessment|
|WO2013126465A1 *||Feb 20, 2013||Aug 29, 2013||MEDEIROS, Felipe, A.||Systems and methods for determining retinal ganglion cell populations and associated treatments|
|U.S. Classification||351/246, 351/221, 351/205, 600/558|
|International Classification||A61B5/024, A61B5/0496|
|Cooperative Classification||A61B5/024, A61B5/0496|
|European Classification||A61B5/024, A61B5/0496|
|May 3, 1993||AS||Assignment|
Owner name: AUSTRALIAN NATIONAL UNIVERSITY, THE, AUSTRALIA
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:JAMES, ANDREW CHARLES;REEL/FRAME:006510/0389
Effective date: 19930421
|Jan 21, 2000||FPAY||Fee payment|
Year of fee payment: 4
|Dec 22, 2003||FPAY||Fee payment|
Year of fee payment: 8
|Jan 28, 2008||REMI||Maintenance fee reminder mailed|
|Feb 1, 2008||FPAY||Fee payment|
Year of fee payment: 12
|Feb 1, 2008||SULP||Surcharge for late payment|
Year of fee payment: 11