
Physics in Medicine and Biology, Год журнала: 2024, Номер 70(1), С. 015004 - 015004
Опубликована: Дек. 11, 2024
Abstract
Objective
.
This
study
aimed
to
evaluate
two
real-time
target
tracking
approaches
for
magnetic
resonance
imaging
(MRI)
guided
radiotherapy
(MRgRT)
based
on
foundation
artificial
intelligence
models.
Approach
The
first
approach
used
a
point-tracking
model
that
propagates
points
from
reference
contour.
second
video-object-segmentation
model,
segment
anything
2
(SAM2).
Both
were
evaluated
and
compared
against
each
other,
inter-observer
variability,
transformer-based
image
registration
TransMorph,
with
without
patient-specific
(PS)
fine-tuning.
evaluation
was
carried
out
2D
cine
MRI
datasets
institutions,
containing
scans
33
patients
8060
labeled
frames,
annotations
5
observers
per
frame,
totaling
29179
ground
truth
segmentations.
segmentations
produced
assessed
using
the
Dice
similarity
coefficient
(DSC),
50%
95%
Hausdorff
distances
(HD50
/
HD95),
Euclidean
center
distance
(ECD).
Main
results
showed
contour
(median
DSC
Язык: Английский