Accelerating algebraic reconstruction using CUDA-enabled GPU

Yuqiang Lu, Weiming Wang, Shifu Chen, Yongming Xie, Jing Qin, Wai Man Pang, Pheng Ann Heng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

9 Citations (Scopus)

Abstract

In this paper, we apply the Compute Unified Device Architecture (CUDA) to the 3D cone-beam CT reconstruction using Simultaneous Algebraic Reconstruction Technique (SART). With the hardware acceleration, the computationally complex SART can run at speed comparable to the commonly used Filtered Back-Projection, and provide even better quality volume with less samples. The main contributions include two novel techniques to accelerate the reconstruction. We introduce a ray-driven projection along with hardware built-in trilinear interpolation, as well as a voxel-driven back-projection that can avoid redundant computation by combining CUDA shared memory. Significant performance boost is reported from experiments using our techniques. A real-time reconstruction is achieved within 3 seconds for a 1283volume from 80 1282projections, without compromising image quality. Our proposed method realizes the instantaneous presentation of CT volume to the physician once projection images are acquired.
Original languageEnglish
Title of host publicationProceedings of the 2009 6th International Conference on Computer Graphics, Imaging and Visualization
Subtitle of host publicationNew Advances and Trends, CGIV2009
Pages480-485
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2009
Externally publishedYes
Event2009 6th International Conference on Computer Graphics, Imaging and Visualization: New Advances and Trends, CGIV2009 - Tianjin, China
Duration: 11 Aug 200914 Aug 2009

Conference

Conference2009 6th International Conference on Computer Graphics, Imaging and Visualization: New Advances and Trends, CGIV2009
Country/TerritoryChina
CityTianjin
Period11/08/0914/08/09

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition

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