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Abstract #1596

Quantitative comparison of abdominal adipose tissue volume segmentation on MR images acquired with body and phase array coils.

Sunil K. Valaparla 1,2 , Qi Peng 3 , Oscar S. E. Nateras 1 , Feng Gao 1 , Timothy Q. Duong 1 , and Geoffrey D. Clarke 1,2

1 Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio, Texas, United States, 2 Radiology, University of Texas Health Science Center at San Antonio, San Antonio, Texas, United States, 3 Department of Radiology, Albert Einstein College of Medicine, Bronx, NY, United States

Excessive body fat, particularly visceral adipose tissue (VAT) correlates with diabetes and cardiovascular diseases. This study compared 3T breath-hold MRI T1W water-saturated (WS) and 2pt Dixon fat (DF) MRI with body and phase array coils in the application of subcutaneous (SAT), (VAT), inter-muscular (IMAT) adipose tissue volumetric assessment using semiautomated fuzzy c-means (FCM) clustering algorithm. Results indicate strong concordance and correlation between the SAT, VAT and IMAT calculated from different acquisitions. These methods can be used interchangeably along with FCM algorithm to effectively assess body fat for large-scale clinical imaging studies.

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