Magnetic Resonance Imaging (MRI) and Magnetic Resonance Spectroscopy (MRS) together have become the gold
standard in the precise quantification of body fat. The study of the quantification of fat in the human body has matured in
recent years from a simplistic interest in the whole-body fat content to detailing regional fat distributions. The realization
that body-fat, or adipose tissue (AT) is far from being a mere aggregate mass or deposit but a biologically active organ
in and of itself, may play a role in the association between obesity and the various pathologies that are the biggest health
issues of our time. Furthermore, a major bottleneck in most medical image assessments of adipose tissue content and
distribution is the lack of automated image analysis. This motivated us to develop a proper and at least partially
automated methodology to accurately and reproducibly determine both body fat content and distribution in the human
body, which is to be applied to cross-sectional and longitudinal studies. The AT considered here is located beneath the
skin (subcutaneous) as well as around the internal organs and between muscles (visceral and inter-muscular). There are
also special fat depots on and around the heart (pericardial) as well as around the aorta (peri-aortic). Our methods focus
on measuring and classifying these various AT deposits in the human body in an intervention study that involves the
acquisition of thoracic and abdominal MR images via a Dixon technique.
Jason E. Hill, Maria Fernandez-Del-Valle, Ryan Hayden, and Sunanda Mitra, "An automated segmentation for direct assessment of adipose tissue distribution from thoracic and abdominal Dixon-technique MR images," Proc. SPIE 10133, Medical Imaging 2017: Image Processing, 1013315 (Presented at SPIE Medical Imaging: February 14, 2017; Published: 24 February 2017); https://doi.org/10.1117/12.2254481.
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