Rare Diseases Symptoms Automatic Extraction
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A random Abstract
Our Project
Our Team
DTI registration in atlas based fiber analysis of infantile Krabbe disease.
[krabbe disease]
In
recent
years
,
diffusion
tensor
imaging
(
DTI
)
has
become
the
modality
of
choice
to
investigate
white
matter
pathology
in
the
developing
brain
.
To
study
neonate
Krabbe
disease
with
DTI
,
we
evaluate
the
performance
of
linear
and
non-linear
DTI
registration
algorithms
for
atlas
based
fiber
tract
analysis
.
The
DTI
scans
of
10
age-matched
neonates
with
infantile
Krabbe
disease
are
mapped
into
an
atlas
for
the
analysis
of
major
fiber
tracts
-
the
genu
and
splenium
of
the
corpus
callosum
,
the
internal
capsules
tracts
and
the
uncinate
fasciculi
.
The
neonate
atlas
is
based
on
377
healthy
control
subjects
,
generated
using
an
unbiased
diffeomorphic
atlas
building
method
.
To
evaluate
the
performance
of
one
linear
and
seven
nonlinear
commonly
used
registration
algorithms
for
DTI
we
propose
the
use
of
two
novel
evaluation
metrics
:
a
regional
matching
quality
criterion
incorporating
the
local
tensor
orientation
similarity
,
and
a
fiber
property
profile
based
metric
using
normative
correlation
.
Our
experimental
results
indicate
that
the
whole
tensor
based
registration
method
within
the
DTI
-ToolKit
(
DTI
-TK
)
shows
the
best
performance
for
our
application
.
Diseases
Validation
Diseases presenting
"corpus callosum"
symptom
adrenomyeloneuropathy
alexander disease
cadasil
canavan disease
classical phenylketonuria
cohen syndrome
gm1 gangliosidosis
hirschsprung disease
hydrocephalus with stenosis of the aqueduct of sylvius
kabuki syndrome
kallmann syndrome
krabbe disease
monosomy 21
neonatal adrenoleukodystrophy
oligodontia
proteus syndrome
pyruvate dehydrogenase deficiency
wolf-hirschhorn syndrome
x-linked adrenoleukodystrophy
zellweger syndrome
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