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Automatic segmentation of articular cartilage from combined assessment of sodium and proton MR knee images

Articular cartilage (AC) segmentation from magnetic resonance images of knee joint play a major role in quantifying morphological and physiological changes during the onset of osteoarthritis (OA). Prior research in cartilage segmentation has shown difficulties to develop fully automatic method due t...

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Main Authors: Hani, A. Mohd, Kumar, D., Malik, A., Walter, N., Razak, R., Kiflie, A.
Format: Citation Index Journal
Published: 2013
Subjects:
Q Science (General)
R Medicine (General)
T Technology (General)
Online Access:http://eprints.utp.edu.my/10878/1/Automatic%20segmentation%20of%20articular%20cartilage%20from%20combined%20assessment%20of%20sodium%20and%20proton%20MR%20knee%20images.pdf
http://dx.doi.org/10.1016/j.joca.2013.02.416
http://eprints.utp.edu.my/10878/
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spelling my.utp.eprints.108782013-12-16T23:48:13Z Automatic segmentation of articular cartilage from combined assessment of sodium and proton MR knee images Hani, A. Mohd Kumar, D. Malik, A. Walter, N. Razak, R. Kiflie, A. Q Science (General) R Medicine (General) T Technology (General) Articular cartilage (AC) segmentation from magnetic resonance images of knee joint play a major role in quantifying morphological and physiological changes during the onset of osteoarthritis (OA). Prior research in cartilage segmentation has shown difficulties to develop fully automatic method due to heterogeneous AC signal, low tissue contrast, uneven shape and complex behaviour. This work aims to develop an automated AC segmentation technique utilizing combined assessment of sodium and proton MR images acquired at 1.5T. 2013-04 Citation Index Journal PeerReviewed application/pdf http://eprints.utp.edu.my/10878/1/Automatic%20segmentation%20of%20articular%20cartilage%20from%20combined%20assessment%20of%20sodium%20and%20proton%20MR%20knee%20images.pdf http://dx.doi.org/10.1016/j.joca.2013.02.416 Hani, A. Mohd and Kumar, D. and Malik, A. and Walter, N. and Razak, R. and Kiflie, A. (2013) Automatic segmentation of articular cartilage from combined assessment of sodium and proton MR knee images. [Citation Index Journal] http://eprints.utp.edu.my/10878/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic Q Science (General)
R Medicine (General)
T Technology (General)
spellingShingle Q Science (General)
R Medicine (General)
T Technology (General)
Hani, A. Mohd
Kumar, D.
Malik, A.
Walter, N.
Razak, R.
Kiflie, A.
Automatic segmentation of articular cartilage from combined assessment of sodium and proton MR knee images
description Articular cartilage (AC) segmentation from magnetic resonance images of knee joint play a major role in quantifying morphological and physiological changes during the onset of osteoarthritis (OA). Prior research in cartilage segmentation has shown difficulties to develop fully automatic method due to heterogeneous AC signal, low tissue contrast, uneven shape and complex behaviour. This work aims to develop an automated AC segmentation technique utilizing combined assessment of sodium and proton MR images acquired at 1.5T.
format Citation Index Journal
author Hani, A. Mohd
Kumar, D.
Malik, A.
Walter, N.
Razak, R.
Kiflie, A.
author_facet Hani, A. Mohd
Kumar, D.
Malik, A.
Walter, N.
Razak, R.
Kiflie, A.
author_sort Hani, A. Mohd
title Automatic segmentation of articular cartilage from combined assessment of sodium and proton MR knee images
title_short Automatic segmentation of articular cartilage from combined assessment of sodium and proton MR knee images
title_full Automatic segmentation of articular cartilage from combined assessment of sodium and proton MR knee images
title_fullStr Automatic segmentation of articular cartilage from combined assessment of sodium and proton MR knee images
title_full_unstemmed Automatic segmentation of articular cartilage from combined assessment of sodium and proton MR knee images
title_sort automatic segmentation of articular cartilage from combined assessment of sodium and proton mr knee images
publishDate 2013
url http://eprints.utp.edu.my/10878/1/Automatic%20segmentation%20of%20articular%20cartilage%20from%20combined%20assessment%20of%20sodium%20and%20proton%20MR%20knee%20images.pdf
http://dx.doi.org/10.1016/j.joca.2013.02.416
http://eprints.utp.edu.my/10878/
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score 13.211869

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