Abstract #4311
3D Multimodal spatial fuzzy segmentation of intramuscular connective and adipose tissue from ultralow TE MR images of calf muscle.
Vincent Ugarte 1 , Vadim Malis 1 , Usha Sinha 1 , Robert Csapo 2 , and Shantanu Sinha 2
1
Physics, SDSU, San Diego, CA, United States,
2
Radiology,
UCSD, San Diego, CA, United States
The study of the correlation between muscle loss,
increase of intramuscular adipose (IMAT) and connective
(IMCT) tissues with age is important topic for
understanding how human physiology changes with age. A
Dual echo Ultrashort TE (UTE) sequences is used to map
the very short T2 connective tissue. A 3D spatial fuzzy
c-means segmentation approach is used with intensity and
TE maps and associated structure maps evaluated from the
Hessian tensor. The spatial term was able to classify
tissues in the presence of fairly severe shading
artifact present in the input TE volumes.
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