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Proceedings Paper

A fast GPU-based approach to branchless distance-driven projection and back-projection in cone beam CT
Author(s): Daniel Schlifske; Henry Medeiros
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Paper Abstract

Modern CT image reconstruction algorithms rely on projection and back-projection operations to refine an image estimate in iterative image reconstruction. A widely-used state-of-the-art technique is distance-driven projection and back-projection. While the distance-driven technique yields superior image quality in iterative algorithms, it is a computationally demanding process. This has a detrimental effect on the relevance of the algorithms in clinical settings. A few methods have been proposed for enhancing the distance-driven technique in order to take advantage of modern computer hardware. This paper explores a two-dimensional extension of the branchless method proposed by Samit Basu and Bruno De Man. The extension of the branchless method is named “pre-integration” because it achieves a significant performance boost by integrating the data before the projection and back-projection operations. It was written with Nvidia’s CUDA platform and carefully designed for massively parallel GPUs. The performance and the image quality of the pre-integration method were analyzed. Both projection and back-projection are significantly faster with preintegration. The image quality was analyzed using cone beam image reconstruction algorithms within Jeffrey Fessler’s Image Reconstruction Toolbox. Images produced from regularized, iterative image reconstruction algorithms using the pre-integration method show no significant impact to image quality.

Paper Details

Date Published: 22 March 2016
PDF: 8 pages
Proc. SPIE 9783, Medical Imaging 2016: Physics of Medical Imaging, 97832W (22 March 2016); doi: 10.1117/12.2216628
Show Author Affiliations
Daniel Schlifske, Marquette Univ. (United States)
GE Healthcare Imaging (United States)
Henry Medeiros, Marquette Univ. (United States)


Published in SPIE Proceedings Vol. 9783:
Medical Imaging 2016: Physics of Medical Imaging
Despina Kontos; Thomas G. Flohr, Editor(s)

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