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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