An automated segmentation for direct assessment of adipose tissue distribution from thoracic and abdominal Dixon-technique MR images

Jason E. Hill, Maria Fernandez-Del-Valle, Ryan Hayden, Sunanda Mitra

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationMedical Imaging 2017
Subtitle of host publicationImage Processing
EditorsElsa D. Angelini, Martin A. Styner, Elsa D. Angelini
PublisherSPIE
ISBN (Electronic)9781510607118
DOIs
StatePublished - 2017
EventMedical Imaging 2017: Image Processing - Orlando, United States
Duration: Feb 12 2017Feb 14 2017

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume10133
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2017: Image Processing
CountryUnited States
CityOrlando
Period02/12/1702/14/17

Keywords

  • Adipose tissue
  • Body fat content and distribution
  • Cardiac adipose tissue.
  • Dixon technique
  • Magnetic resonance images
  • Segmentation
  • Visceral adipose tissue

Fingerprint Dive into the research topics of 'An automated segmentation for direct assessment of adipose tissue distribution from thoracic and abdominal Dixon-technique MR images'. Together they form a unique fingerprint.

Cite this