Principal Warps: Thin-Plate Splines and the Decomposition of Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Interactive Organ Segmentation Using Graph Cuts
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Automated segmentation of acetabulum and femoral head from 3-d CT images
IEEE Transactions on Information Technology in Biomedicine
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The segmentation of bones and bone fragments in clinical computed tomography datasets is an important first step in order to carry out computer-based surgical planning using patient-specific anatomical models. While semi-automatic and automatic methods have been proposed for the intact pelvic bone, the segmentation of bone fragments in the fractured pelvic bone still is a challenge due to weak boundaries and the diversity of injury patterns. We propose a semi-automatic multi-step segmentation method using bone and fracture gap enhancement filtering and a graph cut based bone fragment separation approach. The key contribution is a technique for automated detection of incorrect bone fragment separation in the case of incomplete pelvic fractures based on fracture gap planes detected in Hessian filtered images. Moreover, we propose a new sheetness measure based on a modified Hessian matrix. Our system is capable of segmenting fragments of complex hip fractures with only minimal user interaction.