Multi-body 3D-2D registration for image-guided reduction of pelvic dislocation in orthopaedic trauma surgery.

ABSTRACT: Surgical reduction of pelvic dislocation is a challenging procedure with poor long-term prognosis if reduction does not accurately restore natural morphology. The procedure often requires long fluoroscopic exposure times and trial-and-error to achieve accurate reduction. We report a method to automatically compute the target pose of dislocated bones in preoperative CT and provide 3D guidance of reduction using routine 2D fluoroscopy. A pelvic statistical shape model (SSM) and a statistical pose model (SPM) were formed from an atlas of 40 pelvic CT images. Multi-body bone segmentation was achieved by mapping the SSM to a preoperative CT via an active shape model. The target reduction pose for the dislocated bone is estimated by fitting the poses of undislocated bones to the SPM. Intraoperat

SUBMITTER: Han R 

PROVIDER: S-EPMC8647002 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature