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Proceedings Paper

Efficient framework for deformable 2D-3D registration
Author(s): Oliver Fluck; Shmuel Aharon; Ali Khamene
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Paper Abstract

Using 2D-3D registration it is possible to extract the body transformation between the coordinate systems of X-ray and volumetric CT images. Our initial motivation is the improvement of accuracy of external beam radiation therapy, an effective method for treating cancer, where CT data play a central role in radiation treatment planning. Rigid body transformation is used to compute the correct patient setup. The drawback of such approaches is that the rigidity assumption on the imaged object is not valid for most of the patient cases, mainly due to respiratory motion. In the present work, we address this limitation by proposing a flexible framework for deformable 2D-3D registration consisting of a learning phase incorporating 4D CT data sets and hardware accelerated free form DRR generation, 2D motion computation, and 2D-3D back projection.

Paper Details

Date Published: 17 March 2008
PDF: 8 pages
Proc. SPIE 6918, Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling, 69181E (17 March 2008); doi: 10.1117/12.772911
Show Author Affiliations
Oliver Fluck, Siemens Corporate Research (United States)
Otto-von-Guericke-Univ. (Germany)
Shmuel Aharon, Siemens Medical Solutions (United States)
Ali Khamene, Siemens Corporate Research (United States)


Published in SPIE Proceedings Vol. 6918:
Medical Imaging 2008: Visualization, Image-Guided Procedures, and Modeling
Michael I. Miga; Kevin Robert Cleary, Editor(s)

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