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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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