Automatic three-label bone segmentation from knee MR images

TitleAutomatic three-label bone segmentation from knee MR images
Publication TypeConference Paper
Year of Publication2010
AuthorsShan L, Zach C, Niethammer M
Conference NameInternational Symposium on Biomedical Imaging (ISBI)

We propose a novel fully automatic three-label bone segmentation approach applied to knee segmentation (femur and tibia) from T1 and T2* magnetic resonance (MR) images. The three-label segmentation approach guarantees separate segmentations of femur and tibia which cannot be assured by general binary segmentation methods. The proposed approach is based on a convex optimization problem by embedding label assignment into higher dimensions . Appearance information is used in the segmentation to favor the segmentation of the cortical bone. We validate the proposed three label segmentation method on nine knee MR images against manual segmentations for femur and tibia.