| Automatic quantification of muscle volumes in magnetic resonance imaging scans of the lower extremities. | |
| | |
MedLine Citation:
|
PMID: 21855242 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
|
Muscle volume measurements are essential for an array of diseases ranging from peripheral arterial disease, muscular dystrophies, neurological conditions to sport injuries and aging. In the clinical setting, muscle volume is not routinely measured due to the lack of standardized ways for its repeatable quantification. In this paper, we present magnetic resonance muscle quantification (MRMQ), a method for the automatic quantification of thigh muscle volume in magnetic resonance imaging (MRI) scans. MRMQ integrates a thigh segmentation and nonuniform image gradient correction step, followed by feature extraction and classification. The classification step leverages prior probabilities, introducing prior knowledge to a maximum a posteriori classifier. MRMQ was validated on 344 slices taken from 60 MRI scans. Experiments for the fully automatic detection of muscle volume in MRI scans demonstrated an averaged accuracy, sensitivity and specificity for leave-one-out cross-validation of 88.3%, 93.6% and 87.2%, respectively. |
| | |
Authors:
|
Gerd Brunner; Vijay Nambi; Eric Yang; Anirudh Kumar; Salim S Virani; Panagiotis Kougias; Dipan Shah; Alan Lumsden; Christie M Ballantyne; Joel D Morrisett |
Publication Detail:
|
Type: JOURNAL ARTICLE Date: 2011-8-18 |
Journal Detail:
|
Title: Magnetic resonance imaging Volume: - ISSN: 1873-5894 ISO Abbreviation: - Publication Date: 2011 Aug |
Date Detail:
|
Created Date: 2011-8-22 Completed Date: - Revised Date: - |
Medline Journal Info:
|
Nlm Unique ID: 8214883 Medline TA: Magn Reson Imaging Country: - |
Other Details:
|
Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
|
Copyright © 2011 Elsevier Inc. All rights reserved. |
Affiliation:
|
Division of Atherosclerosis and Vascular Medicine, Department of Medicine, Baylor College of Medicine, Houston, TX 77030, USA. |
Export Citation:
|
APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
|
|
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
Previous Document: Investigation of prostate cancer using diffusion-weighted intravoxel incoherent motion imaging.
Next Document: In vivo measurement of normal rat intracellular pyruvate and lactate levels after injection of hyper...