Computational Research Lab
Head & Neck Thermal TherapyFinite element based inverse problems techniques are seen capable of accurately reproducing the selective heating of the nanoparticle mediated photothermal therapies. The in-vivo recovered spatial map of optical parameters may also be used as a quantitative marker of the nanoparticle uptake.
Model Assisted Monitoring
Patient Specific Calibration
PRF Based Temperature Imaging
Non-damaging laser test pulses may simultaneously be used for patient safety to verify the application position as well as used for calibration the parabolic bioheat transfer model on a patient specific basis.
Deformation Based Morphometry
Large Deformation Registration
A multi-resolution approach is applied within a pipeline of affine and diffeomorphic registration to achieve a dense large deformation mapping.
Imaging to Mesh Generation Pipeline
A schematic of the Imaging-to-FEM mesh pipeline is shown. The hexahedral mesh shown has distinct regions for the prostate and laser applicator.
- To escalate the role of computational science in providing more optimal planning, targeting, monitoring, and assessment of image-guided procedures.
- To develop and validate human assisted computational tools that exploit the unique dynamic closed loop provided by utilizing clinical imaging data as feedback.
- To develop advanced algorithms for computational prediction and data assimilation on state of the art computing architectures.
- Fuentes D, Elliott A, Weinberg JS, Shetty A, Hazle JD, Stafford RJ. An inverse problem approach to recovery of in vivo nanoparticle concentrations from thermal image monitoring of MR-guided laser induced thermal therapy. Ann Biomed Eng 41(1):100-11, 1/2013. e-Pub 8/2012. PMCID: PMC3524364.
- Fuentes D, Yung J, Hazle JD, Weinberg JS, Stafford RJ. Kalman filtered MR temperature imaging for laser induced thermal therapies. IEEE Trans Med Imaging 31(4):984-94, 4/2012. e-Pub 12/2011. PMID: 22203706.
- Feng Y, Fuentes D. Model-based planning and real-time predictive control for laser-induced thermal therapy. Int J Hyperthermia 27(8):751-61, 2011. PMID: 22098360.
A Portable Treatment Planning System for MR-Guided Thermal Therapy
2013-2014. National Science Foundation 12-571. PI: D. Fuentes.
MRI for Minimally Invasive Therapy
2013-2014. CABIR-GE In-Kind Research Award. PI: R. J. Stafford Role: Co-Investigator.
David Fuentes, PhD