Int J Comput Assist Radiol Surg - Extreme leg motion analysis of professional ballet dancers via MRI segmentation of multiple leg postures.

Tópicos

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Resumo

RPOSE: Professional ballet dancers are subject to constant extreme motion which is known to be at the origin of many articular disorders. To analyze their extreme motion, we exploit a unique magnetic resonance imaging (MRI) protocol, denoted as 'dual-posture' MRI, which scans the subject in both the normal (supine) and extreme (split) postures. However, due to inhomogeneous tissue intensities and image artifacts in these scans, coupled with unique acquisition protocol (split posture), segmentation of these scans is difficult. We present a novel algorithm that exploits the correlation between scans (bone shape invariance, appearance similarity) in automatically segmenting the dancer MRI images.METHODS: While validated segmentation algorithms are available for standard supine MRI, these algorithms cannot be applied to the split scan which exhibits a unique posture and strong inter-subject variations. In this study, the supine MRI is segmented with a deformable models method. The appearance and shape of the segmented supine models are then re-used to segment the split MRI of the same subject. Models are first registered to the split image using a novel constrained global optimization, before being refined with the deformable models technique.RESULTS: Experiments with 10 dual-posture MRI datasets in the segmentation of left and right femur bones reported accurate and robust results (mean distance error: 1.39 ? 0.31 mm).CONCLUSIONS: The use of segmented models from the supine posture to assist the split posture segmentation was found to be equally accurate and consistent to supine results. Our results suggest that dual-posture MRI can be efficiently and robustly segmented.

Resumo Limpo

rpose profession ballet dancer subject constant extrem motion known origin mani articular disord analyz extrem motion exploit uniqu magnet reson imag mri protocol denot dualpostur mri scan subject normal supin extrem split postur howev due inhomogen tissu intens imag artifact scan coupl uniqu acquisit protocol split postur segment scan difficult present novel algorithm exploit correl scan bone shape invari appear similar automat segment dancer mri imagesmethod valid segment algorithm avail standard supin mri algorithm appli split scan exhibit uniqu postur strong intersubject variat studi supin mri segment deform model method appear shape segment supin model reus segment split mri subject model first regist split imag use novel constrain global optim refin deform model techniqueresult experi dualpostur mri dataset segment left right femur bone report accur robust result mean distanc error mmconclus use segment model supin postur assist split postur segment found equal accur consist supin result result suggest dualpostur mri can effici robust segment

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