Construction of Statistical Shape Model of Femoral Bone Using MR Images

摘要

Due to inherent characteristic of having priori-information about the shape and appearance, statistical shape models (SSMs) are considered as powerful tools in 3D-MR image analysis. Such as, the SSMs of femoral bone can be used for quantification in knee surgeries, in particular, automated segmentation of femoral bony region to be applied in computer-aided surgical planning of anterior cruciate ligament (ACL) reconstruction. This paper mainly focuses on a method of automatically determining femoral coordinate system, and also constructing SSM of the femoral bone. The coordinate system is exploited to align MR images to a base space of equal voxel size for the purpose of registration. Finally, principal component analysis (PCA) is applied on high dimensional data obtained from signed distances of the registered images. The implemented model is evaluated by reconstructing images, utilizing standard deviation (SD) ratio for each eigenvector obtained from the model.