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Proceedings Paper

Hardware-accelerated cone-beam reconstruction on a mobile C-arm
Author(s): Michael Churchill; Gordon Pope; Jeffrey Penman; Dmitry Riabkov; Xinwei Xue; Arvi Cheryauka
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Paper Abstract

The three-dimensional image reconstruction process used in interventional CT imaging is computationally demanding. Implementation on general-purpose computational platforms requires a substantial time, which is undesirable during time-critical surgical and minimally invasive procedures. Field Programmable Gate Arrays (FPGA)s and Graphics Processing Units (GPU)s have been studied as a platform to accelerate 3-D imaging. FPGA and GPU devices offer a reprogrammable hardware architecture, configurable for pipelining and high levels of parallel processing to increase computational throughput, as well as the benefits of being off-the-shelf and effective 'performance-to-watt' solutions. The main focus of this paper is on the backprojection step of the image reconstruction process, since it is the most computationally intensive part. Using the popular Feldkamp-Davis-Kress (FDK) cone-beam algorithm, our studies indicate the entire 2563 image reconstruction process can be accelerated to real or near real-time (i.e. immediately after a finished scan of 15-30 seconds duration) on a mobile X-ray C-arm system using available resources on built-in FPGA board. High resolution 5123 image backprojection can be also accomplished within the same scanning time on a high-end GPU board comprising up to 128 streaming processors.

Paper Details

Date Published: 19 March 2007
PDF: 8 pages
Proc. SPIE 6510, Medical Imaging 2007: Physics of Medical Imaging, 65105S (19 March 2007); doi: 10.1117/12.711797
Show Author Affiliations
Michael Churchill, Brigham Young Univ. (United States)
Gordon Pope, GE Healthcare Surgery (United States)
Jeffrey Penman, GE Healthcare Surgery (United States)
Dmitry Riabkov, GE Healthcare Surgery (United States)
Xinwei Xue, GE Healthcare Surgery (United States)
Arvi Cheryauka, GE Healthcare Surgery (United States)

Published in SPIE Proceedings Vol. 6510:
Medical Imaging 2007: Physics of Medical Imaging
Jiang Hsieh; Michael J. Flynn, Editor(s)

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