TY - GEN
T1 - Multi-atlas segmentation of the cartilage in knee MR images with sequential volume- and bone-mask-based registrations
AU - Lee, Han Sang
AU - Kim, Hyeun A.
AU - Kim, Hyeonjin
AU - Hong, Helen
AU - Yoon, Young Cheol
AU - Kim, Junmo
N1 - Publisher Copyright:
© 2016 SPIE.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - Cartilage segmentation
KW - Magnetic resonance imaging
KW - Multi-atlas segmentation
UR - https://www.scopus.com/pages/publications/84988850604
U2 - 10.1117/12.2216630
DO - 10.1117/12.2216630
M3 - Conference contribution
AN - SCOPUS:84988850604
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2016
A2 - Tourassi, Georgia D.
A2 - Armato, Samuel G.
PB - SPIE
T2 - Medical Imaging 2016: Computer-Aided Diagnosis
Y2 - 28 February 2016 through 2 March 2016
ER -