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Proceedings Paper

Automatic assessment of volume asymmetries applied to hip abductor muscles in patients with hip arthroplasty
Author(s): Christian Klemt; Marc Modat; Jonas Pichat; M. Jorge Cardoso; Joahnn Henckel; Alister Hart; Sebastien Ourselin
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Paper Abstract

Metal-on-metal (MoM) hip arthroplasties have been utilised over the last 15 years to restore hip function for 1.5 million patients worldwide. Althoug widely used, this hip arthroplasty releases metal wear debris which lead to muscle atrophy. The degree of muscle wastage differs across patients ranging from mild to severe. The longterm outcomes for patients with MoM hip arthroplasty are reduced for increasing degrees of muscle atrophy, highlighting the need to automatically segment pathological muscles. The automated segmentation of pathological soft tissues is challenging as these lack distinct boundaries and morphologically differ across subjects. As a result, there is no method reported in the literature which has been successfully applied to automatically segment pathological muscles. We propose the first automated framework to delineate severely atrophied muscles by applying a novel automated segmentation propagation framework to patients with MoM hip arthroplasty. The proposed algorithm was used to automatically quantify muscle wastage in these patients.

Paper Details

Date Published: 20 March 2015
PDF: 7 pages
Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 94131M (20 March 2015); doi: 10.1117/12.2082341
Show Author Affiliations
Christian Klemt, Univ. College London (United Kingdom)
The Royal National Orthopaedic Hospital (United Kingdom)
Marc Modat, Univ. College London (United Kingdom)
Institute of Neurology (United Kingdom)
Jonas Pichat, Univ. College London (United Kingdom)
M. Jorge Cardoso, Univ. College London (United Kingdom)
Institute of Neurology (United Kingdom)
Joahnn Henckel, Univ. College London (United Kingdom)
Royal National Orthopaedic Hospital (United Kingdom)
Alister Hart, Univ. College London (United Kingdom)
Royal National Orthopaedic Hospital (United Kingdom)
Sebastien Ourselin, Univ. College London (United Kingdom)
Institute of Neurology (United Kingdom)


Published in SPIE Proceedings Vol. 9413:
Medical Imaging 2015: Image Processing
Sébastien Ourselin; Martin A. Styner, Editor(s)

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