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Proceedings Paper

Atlas-based segmentation of neck muscles from MRI for the characterisation of Whiplash Associated Disorder
Author(s): Abdulla Al Suman; Nargis Aktar; Md. Asikuzzaman; Alexandra Louise Webb; Diana M. Perriman; Mark R. Pickering
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Paper Abstract

Whiplash-associated disorder (WAD) is a commonly occurring injury that often results from neck trauma suffered in car accidents. However the cause of the condition is still unknown and there is no definitive clinical test for the presence of the condition. Researchers have begun to analyze the size of neck muscles and the presence of fatty infiltrates to help understand WAD. However this analysis requires a high precision delineation of neck muscles which is very challenging due to a lack of distinctive features in neck magnetic resonance imaging (MRI). This paper presents a novel atlas-based neck muscle segmentation method which employs discrete cosine-based elastic registration with affine initialization. Our algorithm shows promising results based on clinical data with an average Dice similarity coefficient (DSC) of 0.84±0.0004.

Paper Details

Date Published: 29 August 2016
PDF: 5 pages
Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100334L (29 August 2016); doi: 10.1117/12.2243754
Show Author Affiliations
Abdulla Al Suman, The Univ. of New South Wales (Australia)
Nargis Aktar, The Univ. of New South Wales (Australia)
Md. Asikuzzaman, The Univ. of New South Wales (Australia)
Alexandra Louise Webb, Australian National Univ. (Australia)
Diana M. Perriman, Australian National Univ. (Australia)
Canberra Hospital (Australia)
Mark R. Pickering, The Univ. of New South Wales (Australia)

Published in SPIE Proceedings Vol. 10033:
Eighth International Conference on Digital Image Processing (ICDIP 2016)
Charles M. Falco; Xudong Jiang, Editor(s)

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