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