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Proceedings Paper

Practical iterative image reconstruction in digital breast tomosynthesis by non-convex TpV optimization
Author(s): Emil Y. Sidky; Ingrid Reiser; Robert M. Nishikawa; Xiaochuan Pan; Rick Chartrand; Daniel B. Kopans; Richard H. Moore
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Paper Abstract

Digital breast tomosynthesis (DBT) is a rapidly developing imaging modality that gives some tomographic information for breast cancer screening. The effectiveness of standard mammography can be limited by the presence of overlapping structures in the breast. A DBT scan, consisting of a limited number of views covering a limited arc projecting the breast onto a fixed flat-panel detector, involves only a small modification of digital mammography, yet DBT yields breast image slices with reduced interference from overlapping breast tissues. We have recently developed an iterative image reconstruction algorithm for DBT based on image total variation (TV) minimization that improves on EM in that the resulting images have fewer artifacts and there is no need for additional regularization. In this abstract, we present the total p-norm variation (TpV) image reconstruction algorithm. TpV has the advantages of our previous TV algorithm, while improving substantially on the efficiency. Results for the TpV on clinical data are shown and compared with EM.

Paper Details

Date Published: 18 March 2008
PDF: 6 pages
Proc. SPIE 6913, Medical Imaging 2008: Physics of Medical Imaging, 691328 (18 March 2008); doi: 10.1117/12.772796
Show Author Affiliations
Emil Y. Sidky, The Univ. of Chicago (United States)
Ingrid Reiser, The Univ. of Chicago (United States)
Robert M. Nishikawa, The Univ. of Chicago (United States)
Xiaochuan Pan, The Univ. of Chicago (United States)
Rick Chartrand, Los Alamos National Lab. (United States)
Daniel B. Kopans, Massachusetts General Hospital (United States)
Richard H. Moore, Massachusetts General Hospital (United States)


Published in SPIE Proceedings Vol. 6913:
Medical Imaging 2008: Physics of Medical Imaging
Jiang Hsieh; Ehsan Samei, Editor(s)

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