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2D-3D Rigid-Body Registration of X-Ray Fluoroscopy and CT Images

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dc.contributor.author Zollei, Lilla en_US
dc.date.accessioned 2004-10-20T20:28:33Z
dc.date.available 2004-10-20T20:28:33Z
dc.date.issued 2001-08-01 en_US
dc.identifier.other AITR-2002-001 en_US
dc.identifier.uri http://hdl.handle.net/1721.1/7078
dc.description.abstract The registration of pre-operative volumetric datasets to intra- operative two-dimensional images provides an improved way of verifying patient position and medical instrument loca- tion. In applications from orthopedics to neurosurgery, it has a great value in maintaining up-to-date information about changes due to intervention. We propose a mutual information- based registration algorithm to establish the proper align- ment. For optimization purposes, we compare the perfor- mance of the non-gradient Powell method and two slightly di erent versions of a stochastic gradient ascent strategy: one using a sparsely sampled histogramming approach and the other Parzen windowing to carry out probability density approximation. Our main contribution lies in adopting the stochastic ap- proximation scheme successfully applied in 3D-3D registra- tion problems to the 2D-3D scenario, which obviates the need for the generation of full DRRs at each iteration of pose op- timization. This facilitates a considerable savings in compu- tation expense. We also introduce a new probability density estimator for image intensities via sparse histogramming, de- rive gradient estimates for the density measures required by the maximization procedure and introduce the framework for a multiresolution strategy to the problem. Registration results are presented on uoroscopy and CT datasets of a plastic pelvis and a real skull, and on a high-resolution CT- derived simulated dataset of a real skull, a plastic skull, a plastic pelvis and a plastic lumbar spine segment. en_US
dc.format.extent 128 p. en_US
dc.format.extent 21043480 bytes
dc.format.extent 1712245 bytes
dc.format.mimetype application/postscript
dc.format.mimetype application/pdf
dc.language.iso en_US
dc.relation.ispartofseries AITR-2002-001 en_US
dc.subject AI en_US
dc.subject registration en_US
dc.subject medical imaging en_US
dc.title 2D-3D Rigid-Body Registration of X-Ray Fluoroscopy and CT Images en_US


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