Literature DB >> 26336839

Segmentation and quantification of adipose tissue by magnetic resonance imaging.

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


  171 in total

Review 1.  The advantages and limitations of cross-sectional body composition analysis.

Authors:  Alisdair J MacDonald; Carolyn A Greig; Vickie Baracos
Journal:  Curr Opin Support Palliat Care       Date:  2011-12       Impact factor: 2.302

2.  Whole-body T1 mapping improves the definition of adipose tissue: consequences for automated image analysis.

Authors:  Joel Kullberg; Jan-Erik Angelhed; Lars Lönn; John Brandberg; Håkan Ahlström; Hans Frimmel; Lars Johansson
Journal:  J Magn Reson Imaging       Date:  2006-08       Impact factor: 4.813

3.  Automated quantification of body fat distribution on volumetric computed tomography.

Authors:  Binsheng Zhao; Jane Colville; John Kalaigian; Sean Curran; Li Jiang; Peter Kijewski; Lawrence H Schwartz
Journal:  J Comput Assist Tomogr       Date:  2006 Sep-Oct       Impact factor: 1.826

4.  Development of a high-precision image-processing automatic measurement system for MRI visceral fat images acquired using a binomial RF-excitation pulse.

Authors:  Ryusuke Nakai; Takashi Azuma; Taizou Kishimoto; Tazuko Hirata; Osamu Takizawa; Suong-Hyu Hyon; Sadami Tsutsumi
Journal:  Magn Reson Imaging       Date:  2010-01-21       Impact factor: 2.546

5.  Automatic quantification of muscle volumes in magnetic resonance imaging scans of the lower extremities.

Authors:  Gerd Brunner; Vijay Nambi; Eric Yang; Anirudh Kumar; Salim S Virani; Panagiotis Kougias; Dipan Shah; Alan Lumsden; Christie M Ballantyne; Joel D Morrisett
Journal:  Magn Reson Imaging       Date:  2011-08-19       Impact factor: 2.546

6.  Segmentation and measurement of fat volumes in murine obesity models using X-ray computed tomography.

Authors:  Todd A Sasser; Sarah E Chapman; Shengting Li; Caroline Hudson; Sean P Orton; Justin M Diener; Seth T Gammon; Carlos Correcher; W Matthew Leevy
Journal:  J Vis Exp       Date:  2012-04-04       Impact factor: 1.355

7.  MR-detected changes in liver fat, abdominal fat, and vertebral bone marrow fat after a four-week calorie restriction in obese women.

Authors:  Christian Cordes; Michael Dieckmeyer; Beate Ott; Jun Shen; Stefan Ruschke; Marcus Settles; Claudia Eichhorn; Jan S Bauer; Hendrik Kooijman; Ernst J Rummeny; Thomas Skurk; Thomas Baum; Hans Hauner; Dimitrios C Karampinos
Journal:  J Magn Reson Imaging       Date:  2015-04-09       Impact factor: 4.813

8.  Metabolic syndrome in normal-weight Americans: new definition of the metabolically obese, normal-weight individual.

Authors:  Marie-Pierre St-Onge; Ian Janssen; Steven B Heymsfield
Journal:  Diabetes Care       Date:  2004-09       Impact factor: 19.112

9.  Intermuscular adipose tissue rivals visceral adipose tissue in independent associations with cardiovascular risk.

Authors:  J-E Yim; S Heshka; J Albu; S Heymsfield; P Kuznia; T Harris; D Gallagher
Journal:  Int J Obes (Lond)       Date:  2007-04-24       Impact factor: 5.095

Review 10.  Assessment methods in human body composition.

Authors:  Seon Yeong Lee; Dympna Gallagher
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2008-09       Impact factor: 4.294

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  23 in total

1.  Anthropometer3D: Automatic Multi-Slice Segmentation Software for the Measurement of Anthropometric Parameters from CT of PET/CT.

Authors:  Pierre Decazes; David Tonnelet; Pierre Vera; Isabelle Gardin
Journal:  J Digit Imaging       Date:  2019-04       Impact factor: 4.056

2.  Quantifying Abdominal Adipose Tissue and Thigh Muscle Volume and Hepatic Proton Density Fat Fraction: Repeatability and Accuracy of an MR Imaging-based, Semiautomated Analysis Method.

Authors:  Michael S Middleton; William Haufe; Jonathan Hooker; Magnus Borga; Olof Dahlqvist Leinhard; Thobias Romu; Patrik Tunón; Gavin Hamilton; Tanya Wolfson; Anthony Gamst; Rohit Loomba; Claude B Sirlin
Journal:  Radiology       Date:  2017-03-09       Impact factor: 11.105

Review 3.  MRI adipose tissue and muscle composition analysis-a review of automation techniques.

Authors:  Magnus Borga
Journal:  Br J Radiol       Date:  2018-07-24       Impact factor: 3.039

4.  Contributors to Metabolic Disease Risk Following Spinal Cord Injury.

Authors:  Daniel L Smith; Ceren Yarar-Fisher
Journal:  Curr Phys Med Rehabil Rep       Date:  2016-07-06

5.  Tissue segmentation: a crucial tool for quantitative MRI and visualization of anatomical structures.

Authors:  Fritz Schick
Journal:  MAGMA       Date:  2016-04       Impact factor: 2.310

Review 6.  How to best assess abdominal obesity.

Authors:  Hongjuan Fang; Elizabeth Berg; Xiaoguang Cheng; Wei Shen
Journal:  Curr Opin Clin Nutr Metab Care       Date:  2018-09       Impact factor: 4.294

7.  Low muscle mass at initiation of anti-TNF therapy for inflammatory bowel disease is associated with early treatment failure: a retrospective analysis.

Authors:  D Q Holt; P Varma; B J G Strauss; A S Rajadurai; G T Moore
Journal:  Eur J Clin Nutr       Date:  2017-02-22       Impact factor: 4.016

8.  Free-breathing Magnetic Resonance Imaging Assessment of Body Composition in Healthy and Overweight Children: An Observational Study.

Authors:  Karrie V Ly; Tess Armstrong; Joanna Yeh; Shahnaz Ghahremani; Grace H Kim; Holden H Wu; Kara L Calkins
Journal:  J Pediatr Gastroenterol Nutr       Date:  2019-06       Impact factor: 2.839

Review 9.  Emerging Technologies and their Applications in Lipid Compartment Measurement.

Authors:  Steven B Heymsfield; Houchun Harry Hu; Wei Shen; Owen Carmichael
Journal:  Trends Endocrinol Metab       Date:  2015-11-17       Impact factor: 12.015

10.  Fully Automated and Standardized Segmentation of Adipose Tissue Compartments via Deep Learning in 3D Whole-Body MRI of Epidemiologic Cohort Studies.

Authors:  Thomas Küstner; Tobias Hepp; Marc Fischer; Martin Schwartz; Andreas Fritsche; Hans-Ulrich Häring; Konstantin Nikolaou; Fabian Bamberg; Bin Yang; Fritz Schick; Sergios Gatidis; Jürgen Machann
Journal:  Radiol Artif Intell       Date:  2020-10-28
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