NDLI: Automated Quantification of Muscle and Fat in the Thigh from Water-, Fat- and Non-suppressed MR Images

Content Provider	IEEE Xplore Digital Library
Author	Makrogiannis, S. Serai, S. Fishbein, K.W. Laney, W. Schreiber, C. Ershler, W.B. Ferrucci, L. Spencer, R.G.
Copyright Year	2010
Abstract	A key parameter in metabolic and pathologic studies is the estimation of body tissue distribution. This is a laborious and operator-dependent process. In this work we introduce an unsupervised muscle and fat quantification algorithm based on water only, fat only and water-and-fat MRI images of the mid-thigh area. We first use parametric deformable models to segment the subcutaneous fat and then apply centroid clustering in the feature domain defined by the voxel intensities in water only and fat only images to detect the inter-muscular fat, muscle and bone. This tissue decomposition permits the computation of volumetric and area measures of fat and muscle. We tested the proposed method on 9 participants and validated these measures against values obtained from a semi-manual clinician-driven analysis of single-slice mid-thigh CT images of the same participants. Our approach was found to be statistically consistent with the semi-manual reference method, and was able to address inter-participant anatomic variability and intensity in homogeneity effects.
Starting Page	52
Ending Page	57
File Size	1004117
Page Count	6
File Format	PDF
ISBN	9781424474943
e-ISBN	9781424474950
DOI	10.1109/BIBE.2010.18
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-05-31
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Muscles Thigh Clustering algorithms Magnetic resonance imaging Deformable models Image segmentation Bones Area measurement Volume measurement Testing MRI muscle/fat quantification image segmentation clustering
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Automated Quantification of Muscle and Fat in the Thigh from Water-, Fat-and Non-Suppressed MR Images

Automatic muscle/fat quantification on MR images

Automatic assessment of muscle/fat temporal variations on MR images of the thigh

Automated quantification of muscle and fat in the thigh from water-, fat-, and nonsuppressed MR images

An Automated and Robust Framework for Quantification of Muscle and Fat in the Thigh

MRI brain images segmentation

The Research of Tissue Segmentation Method on Thigh MRI

Automated segmentation of breast fat-water MR images using empirical analysis

Automatic Segmentation of Thigh Magnetic Resonance Images

Automated Quantification of Muscle and Fat in the Thigh from Water-, Fat- and Non-suppressed MR Images

Similar Documents

Automated Quantification of Muscle and Fat in the Thigh from Water-, Fat-and Non-Suppressed MR Images

Automatic muscle/fat quantification on MR images

Automatic assessment of muscle/fat temporal variations on MR images of the thigh

Automated quantification of muscle and fat in the thigh from water-, fat-, and nonsuppressed MR images

An Automated and Robust Framework for Quantification of Muscle and Fat in the Thigh

MRI brain images segmentation

The Research of Tissue Segmentation Method on Thigh MRI

Automated segmentation of breast fat-water MR images using empirical analysis

Automatic Segmentation of Thigh Magnetic Resonance Images

Automated Quantification of Muscle and Fat in the Thigh from Water-, Fat- and Non-suppressed MR Images