| Literature DB >> 26336839 |
Houchun Harry Hu1, Jun Chen2, Wei Shen3.
Abstract
In this brief review, introductory concepts in animal and human adipose tissue segmentation using proton magnetic resonance imaging (MRI) and computed tomography are summarized in the context of obesity research. Adipose tissue segmentation and quantification using spin relaxation-based (e.g., T1-weighted, T2-weighted), relaxometry-based (e.g., T1-, T2-, T2*-mapping), chemical-shift selective, and chemical-shift encoded water-fat MRI pulse sequences are briefly discussed. The continuing interest to classify subcutaneous and visceral adipose tissue depots into smaller sub-depot compartments is mentioned. The use of a single slice, a stack of slices across a limited anatomical region, or a whole body protocol is considered. Common image post-processing steps and emerging atlas-based automated segmentation techniques are noted. Finally, the article identifies some directions of future research, including a discussion on the growing topic of brown adipose tissue and related segmentation considerations.Entities:
Keywords: Adipose tissue; Body composition; Computed tomography; Magnetic resonance imaging; Obesity; Quantification; Segmentation
Mesh:
Year: 2015 PMID: 26336839 PMCID: PMC5206913 DOI: 10.1007/s10334-015-0498-z
Source DB: PubMed Journal: MAGMA ISSN: 0968-5243 Impact factor: 2.310