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

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]

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Official URL: http://dx.doi.org/10.1016/j.joca.2013.02.416

Abstract

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.

Item Type:Citation Index Journal
Impact Factor:3.953
Subjects:Q Science > Q Science (General)
R Medicine > R Medicine (General)
T Technology > T Technology (General)
Academic Subject One:Academic Department - Electrical And Electronics - Communications - Digital Communications - Digital Signal Processing
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
Mission Oriented Research > Health
ID Code:10878
Deposited By: Dr Aamir Saeed Malik
Deposited On:16 Dec 2013 23:48
Last Modified:16 Dec 2013 23:48

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