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Efficient projection and deformation of volumetric intensity models for accurate simulation of X-ray images

Please always quote using this URN: urn:nbn:de:0297-zib-16580
  • We present an efficient GPU-based method to generate virtual X-ray images from tetrahedral meshes which are associated with attenuation values. In addition, a novel approach is proposed that performs the model deformation on the GPU. The tetrahedral grids are derived from volumetric statistical shape and intensity models (SSIMs) and describe anatomical structures. Our research targets at reconstructing 3D anatomical shapes by comparing virtual X-ray images generated using our novel approach with clinical data while varying the shape and density of the SSIM in an optimization process. We assume that a deformed SSIM adequately represents an anatomy of interest when the similarity between the virtual and the clinical X-ray image is maximized. The OpenGL implementation presented here generates accurate (virtual) X-ray images at interactive rates, thus qualifying it for its use in the reconstruction process.

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Author:Moritz Ehlke, Heiko Ramm, Hans LameckerORCiD, Stefan ZachowORCiD
Document Type:ZIB-Report
Tag:Digitally Reconstructed Radiograph (DRR), Anatomy Reconstruction, Statistical Shape and Intensity Model (SSIM), GPU acceleration
CCS-Classification:I. Computing Methodologies
Date of first Publication:2012/11/20
Series (Serial Number):ZIB-Report (12-40)
Published in:Presented at the 12th Annual Meeting of CAOS-International (CAOS)
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