Perthes Disease Classification Using Shape and Appearance Modelling

Davison, Adrian K, Cootes, Timothy F, Perry, Daniel C ORCID: 0000-0001-8420-8252, Luo, Weisang and Lindner, Claudia (2019) Perthes Disease Classification Using Shape and Appearance Modelling In: 6th International Workshop, MSKI 2018, 2018-9-16 - ?, Granada, Spain.

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Abstract

We propose to use statistical shape and appearance modelling to classify the proximal femur in hip radiographs of children into Legg-Calvé-Perthes disease and healthy. Legg-Calvé-Perthes disease affects the femoral head with avascular necrosis, which causes large shape deformities during the growth-stage of the child. Further, the dead or dying bone of the femoral head is prominent visually in radiographic images, leading to a distinction between healthy bone and bone where necrosis is present. Currently, there is little to no research into analysing the shape and appearance of hips affected by Perthes disease from radiographic images. Our research demonstrates how the radiographic shape, texture and overall appearance of a proximal femur affected by Perthes disease differs and how this can be used for identifying cases with the disease. Moreover, we present a radiograph-based fully automatic Perthes classification system that achieves state-of-the-art results with an area under the receiver operator characteristic (ROC) curve of 98%.

Item Type:	Conference Item (Unspecified)
Uncontrolled Keywords:	Computer-aided diagnosis, Perthes disease, Random forests, Radiographs, Paediatrics, Shape modelling, Appearance modelling
Depositing User:	Symplectic Admin
Date Deposited:	21 Feb 2020 14:16
Last Modified:	22 May 2026 22:04
DOI:	10.1007/978-3-030-11166-3_8
Open Access URL:	https://www.research.manchester.ac.uk/portal/en/pu...
Related Websites:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3076052
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