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Proceedings Paper

Implementing an iterative reconstruction algorithm for digital breast tomosynthesis on graphics processing hardware
Author(s): Iain Goddard; Tao Wu; Scott Thieret; Ari Berman; Hauke Bartsch
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Paper Abstract

The Maximum Likelihood Expectation Maximization (MLEM) algorithm has been shown to produce the highest quality Digital Breast Tomosynthesis (DBT) images. MLEM, however, is computationally intensive. Single-processor image reconstruction times for each breast were on the order of several hours. In order for DBT to be clinically useful, faster reconstruction times using cost-effective software/hardware solutions are needed. We have implemented the MLEM reconstruction algorithm for use with DBT on a graphics processing unit (GPU). Compared to a single optimized 2.8GHz Pentium system this enabled a 113-fold speedup in processing time, while maintaining high image quality. Subsequently, we added various additional processing steps to the reconstruction algorithm in order to improve image quality and diagnostic properties. Since the performance of commercial GPUs increases rapidly, with little change in cost, the increased sophistication in processing does not entail an increase in system cost. The use of GPUs for reconstruction represents a technical breakthrough in the cost-effective application of MLEM to Digital Breast Tomosynthesis.

Paper Details

Date Published: 2 March 2006
PDF: 7 pages
Proc. SPIE 6142, Medical Imaging 2006: Physics of Medical Imaging, 61424V (2 March 2006); doi: 10.1117/12.652605
Show Author Affiliations
Iain Goddard, Mercury Computer Systems, Inc. (United States)
Tao Wu, Massachusetts General Hospital (United States)
Scott Thieret, Mercury Computer Systems, Inc. (United States)
Ari Berman, Mercury Computer Systems, Inc. (United States)
Hauke Bartsch, Mercury Computer Systems, Inc. (United States)

Published in SPIE Proceedings Vol. 6142:
Medical Imaging 2006: Physics of Medical Imaging
Michael J. Flynn; Jiang Hsieh, Editor(s)

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