Automatic bone registration in MR knee images for cartilage morphological analysis

Ji Hyun Yoo; Soo Kyung Kim; Helen Hong; Hackjoon Shim; C. Kent Kwoh; Kyongtae Ty Bae

doi:10.1117/12.811612

27 March 2009 Automatic bone registration in MR knee images for cartilage morphological analysis

Ji Hyun Yoo, Soo Kyung Kim, Helen Hong, Hackjoon Shim, C. Kent Kwoh, Kyongtae Ty Bae

Proceedings Volume 7259, Medical Imaging 2009: Image Processing; 72592H (2009) https://doi.org/10.1117/12.811612
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

We propose a cartilage matching technique based on the registration of the corresponding bone structures instead of using the cartilage. Our method consists of five steps. First, cartilage and corresponding bone structures are extracted by semi-automatic segmentation. Second, gross translational mismatch between corresponding bone structures is corrected by point-based rough registration. The center of inertia (COI) of each segmented bone structure is considered as the reference point. Third, the initial alignment is refined by distance-based surface registration. For fast and robust convergence of the distance measure to the optimal value, a 3D distance map is generated by the Gaussian-weighted narrow-band distance propagation. Fourth, rigid transformation of the bone surface registration is applied to the cartilage of baseline MR images. Finally, morphological differences of the corresponding cartilages are visualized by color-coded mapping and image fusion. Experimental results show that the cartilage morphological changes of baseline and follow-up MR knee images can be easily recognized by the correct registration of the corresponding bones.

Citation Download Citation

Ji Hyun Yoo, Soo Kyung Kim, Helen Hong, Hackjoon Shim, C. Kent Kwoh, and Kyongtae Ty Bae "Automatic bone registration in MR knee images for cartilage morphological analysis", Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72592H (27 March 2009); https://doi.org/10.1117/12.811612

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