期刊
COMPUTER VISION - ACCV 2014, PT II
卷 9004, 期 -, 页码 674-687出版社
SPRINGER-VERLAG BERLIN
DOI: 10.1007/978-3-319-16808-1_45
关键词
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X-ray imaging is commonly used in clinical routine. In radiotherapy, spatial information is extracted from X-ray images to correctly position patients before treatment. Similarly, orthopedic surgeons assess the positioning and migration of implants after Total Hip Replacement (THR) with X-ray images. However, the projective nature of X-ray imaging hinders the reliable extraction of rigid structures in X-ray images, such as bones or metallic components. We developed an approach based on multibody physics that simultaneously registers multiple 3D shapes with one or more 2D X-ray images. Considered as physical bodies, shapes are driven by image forces, which exploit image gradient, and constraints, which enforce spatial dependencies between shapes. Our method was tested on post-operative radiographs of THR and thoroughly validated with gold standard datasets. The final target registration error was in average 0.3 +/- 0.16mm and the capture range improved more than 40% with respect to reference registration methods.
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