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- W2593770106 abstract "Magnetic Resonance Imaging (MRI) and Magnetic Resonance Spectroscopy (MRS) together have become the goldstandard in the precise quantification of body fat. The study of the quantification of fat in the human body has matured inrecent years from a simplistic interest in the whole-body fat content to detailing regional fat distributions. The realizationthat body-fat, or adipose tissue (AT) is far from being a mere aggregate mass or deposit but a biologically active organin and of itself, may play a role in the association between obesity and the various pathologies that are the biggest healthissues of our time. Furthermore, a major bottleneck in most medical image assessments of adipose tissue content anddistribution is the lack of automated image analysis. This motivated us to develop a proper and at least partiallyautomated methodology to accurately and reproducibly determine both body fat content and distribution in the humanbody, which is to be applied to cross-sectional and longitudinal studies. The AT considered here is located beneath theskin (subcutaneous) as well as around the internal organs and between muscles (visceral and inter-muscular). There arealso special fat depots on and around the heart (pericardial) as well as around the aorta (peri-aortic). Our methods focuson measuring and classifying these various AT deposits in the human body in an intervention study that involves theacquisition of thoracic and abdominal MR images via a Dixon technique." @default.
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- W2593770106 date "2017-02-24" @default.
- W2593770106 modified "2023-09-23" @default.
- W2593770106 title "An automated segmentation for direct assessment of adipose tissue distribution from thoracic and abdominal Dixon-technique MR images" @default.
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- W2593770106 doi "https://doi.org/10.1117/12.2254481" @default.
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