Abstract #1403

Automated segmentation of Intramuscular Connective Tissue (IMCT) from skeletal muscle in presence of artifacts: Application to Changes in IMCT in an Unilateral Limb Suspension Induced Acute Atrophy Model in the Plantarflexors

Vincent Ugarte¹, Usha Sinha¹, Vadim Malis², and Shantanu Sinha³

¹Physics, San Diego State University, San Diego, CA, United States, ²Physics, UC San Diego, San Diego, CA, United States, ³Radiology, UC San Diego, San Diego, CA, United States

Chronic muscle atrophy can be induced by limb suspension and is characterized by a loss of muscle mass and force. However, there could also be changes to the connective tissue volume that may contribute to the loss of muscle function. We studied the changes in connective tissue volume in a model of chronic atrophy induced by Unilateral limb suspension (ULLS) using ultralow TE sequences. We integrated an artifact correction algorithm to a 3D fuzzy segmentation algorithm to automatically segment the connective tissue from dual echo UTEs images corrupted by artifacts. Percent connective tissue increased post-ULLS but not the absolute values.

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