<s>
Boundary	B-Algorithm
estimation	I-Algorithm
in	I-Algorithm
EIT	I-Algorithm
is	O
the	O
term	O
used	O
in	O
the	O
field	O
of	O
electrical	O
impedance	O
tomography	O
,	O
if	O
the	O
inverse	O
problem	O
is	O
the	O
estimation	O
of	O
boundary	O
instead	O
of	O
the	O
conductivity	O
distribution	O
inside	O
an	O
object	O
domain	O
.	O
</s>
<s>
Electrical	O
impedance	O
tomography	O
(	O
EIT	O
)	O
is	O
a	O
non-invasive	O
imaging	B-Application
modality	O
in	O
which	O
a	O
cross	O
sectional	O
image	O
of	O
the	O
conductivity	O
distribution	O
inside	O
an	O
object	O
can	O
be	O
obtained	O
by	O
injecting	O
a	O
set	O
of	O
current	O
patterns	O
and	O
measuring	O
boundary	O
voltages	O
across	O
the	O
electrodes	O
attached	O
to	O
the	O
surface	O
of	O
the	O
object	O
.	O
</s>
<s>
The	O
boundary	O
estimation	O
problem	O
in	O
EIT	O
can	O
be	O
broadly	O
categorized	O
into	O
two	O
classes	O
according	O
to	O
the	O
topology	O
of	O
the	O
boundary	O
to	O
be	O
estimated	O
:	O
closed	O
boundary	O
problems	O
,	O
in	O
which	O
the	O
anomalies	O
are	O
enclosed	O
by	O
a	O
background	O
substance	O
,	O
and	O
the	O
open	O
boundary	O
problems	O
in	O
which	O
the	O
domain	O
is	O
divided	O
into	O
two	O
or	O
more	O
disjoint	B-Algorithm
regions	O
which	O
are	O
separated	O
by	O
an	O
open	O
boundary	O
.	O
</s>
<s>
The	O
applications	O
of	O
EIT	O
boundary	O
estimation	O
are	O
in	O
the	O
field	O
of	O
medical	B-Application
imaging	I-Application
as	O
well	O
as	O
the	O
monitoring	O
of	O
the	O
industrial	O
processes	O
.	O
</s>
<s>
The	O
conductivity	O
estimation	O
using	O
EIT	O
is	O
a	O
nonlinear	O
ill-posed	B-Algorithm
problem	I-Algorithm
.	O
</s>
<s>
In	O
medical	B-Application
imaging	I-Application
we	O
are	O
often	O
interested	O
in	O
the	O
estimation	O
of	O
organ	O
boundaries	O
rather	O
than	O
the	O
conductivity	O
distribution	O
inside	O
the	O
human	O
body	O
.	O
</s>
<s>
It	O
consequently	O
leads	O
to	O
a	O
much	O
lesser	O
ill-posed	B-Algorithm
problem	I-Algorithm
and	O
significantly	O
reduces	O
the	O
dimension	O
of	O
the	O
solution	O
space	O
,	O
.	O
</s>
