Automatic assessment of volume asymmetries applied to hip abductor muscles in patients with hip arthroplasty

TY - CHAP

T1 - Automatic assessment of volume asymmetries applied to hip abductor muscles in patients with hip arthroplasty

AU - Klemt, Christian

AU - Modat, Marc

AU - Pichat, Jonas

AU - Cardoso, M. J.

AU - Henckel, Joahnn

AU - Hart, Alister

AU - Ourselin, Sebastien

PY - 2015/1/1

Y1 - 2015/1/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84943397651&partnerID=8YFLogxK

U2 - 10.1117/12.2082341

DO - 10.1117/12.2082341

M3 - Conference paper

AN - SCOPUS:84943397651

VL - 9413

BT - Medical Imaging 2015

PB - SPIE

T2 - Medical Imaging 2015: Image Processing

Y2 - 24 February 2015 through 26 February 2015

ER -