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Proceedings Paper

Multi-atlas segmentation of the cartilage in knee MR images with sequential volume- and bone-mask-based registrations
Author(s): Han Sang Lee; Hyeun A. Kim; Hyeonjin Kim; Helen Hong; Young Cheol Yoon; Junmo Kim
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Paper Abstract

In spite of its clinical importance in diagnosis of osteoarthritis, segmentation of cartilage in knee MRI remains a challenging task due to its shape variability and low contrast with surrounding soft tissues and synovial fluid. In this paper, we propose a multi-atlas segmentation of cartilage in knee MRI with sequential atlas registrations and locallyweighted voting (LWV). First, bone is segmented by sequential volume- and object-based registrations and LWV. Second, to overcome the shape variability of cartilage, cartilage is segmented by bone-mask-based registration and LWV. In experiments, the proposed method improved the bone segmentation by reducing misclassified bone region, and enhanced the cartilage segmentation by preventing cartilage leakage into surrounding similar intensity region, with the help of sequential registrations and LWV.

Paper Details

Date Published: 24 March 2016
PDF: 6 pages
Proc. SPIE 9785, Medical Imaging 2016: Computer-Aided Diagnosis, 97853H (24 March 2016); doi: 10.1117/12.2216630
Show Author Affiliations
Han Sang Lee, KAIST (Korea, Republic of)
Hyeun A. Kim, Seoul Women's Univ. (Korea, Republic of)
Hyeonjin Kim, Seoul Women's Univ. (Korea, Republic of)
Helen Hong, Seoul Women's Univ. (Korea, Republic of)
Young Cheol Yoon, Samsung Medical Ctr. (Korea, Republic of)
Junmo Kim, KAIST (Korea, Republic of)


Published in SPIE Proceedings Vol. 9785:
Medical Imaging 2016: Computer-Aided Diagnosis
Georgia D. Tourassi; Samuel G. Armato, Editor(s)

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