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Proceedings Paper

Multi-core parallel reconstruction method for cone-beam computed tomography
Author(s): Mingjun Li; Dinghua Zhang; Kuidong Huang; Qingchao Yu; Shunli Zhang
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Paper Abstract

In the application of nondestructive testing and evaluation, this paper mainly deals with the problem of improving the image reconstruction speed in cone beam computed tomography (CBCT). FDK algorithm is a time costing method for CBCT image reconstruction, due to the voluminous data and long operating process. With the help of data organization and task distribution, we improved the SIMD instructions in Z-line data first reconstruction algorithm, which is an improved method based on the FDK algorithm. And then, we run it parallelized with multi-core technology and a certain divide-and-conquer strategy to get a fast reconstruction speed in CBCT. Finally, we evaluate the effectiveness of our method from a numerical test of a blade model on an 8-core computer with four channel memory. Our method has got a considerable speedup ratio of 217.22 to the FDK algorithm, and implemented the back-projection process of reconstructing the inscribed cylinder of 5123 reconstruction space in about 30 seconds. It has got the same image quality with the Z-line data first method, which retains the computational precision with FDK algorithm. Basically, our method has met the requirement of real-time reconstruction.

Paper Details

Date Published: 30 October 2009
PDF: 8 pages
Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 74970P (30 October 2009); doi: 10.1117/12.832923
Show Author Affiliations
Mingjun Li, Northwestern Polytechnical Univ. (China)
Dinghua Zhang, Northwestern Polytechnical Univ. (China)
Kuidong Huang, Northwestern Polytechnical Univ. (China)
Qingchao Yu, Northwestern Polytechnical Univ. (China)
Shunli Zhang, Northwestern Polytechnical Univ. (China)

Published in SPIE Proceedings Vol. 7497:
MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Faxiong Zhang; Faxiong Zhang, Editor(s)

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