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Proceedings Paper

Investigation of statistical iterative reconstruction for dedicated breast CT
Author(s): Andrey Makeev; Mini Das; Stephen J. Glick
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Paper Abstract

Dedicated breast CT has great potential for improving the detection and diagnosis of breast cancer. In this study, statistical iterative reconstruction with a penalized likelihood objective function and a Huber prior are investigated for use with breast CT. This prior has two free parameters, the penalty weight and the edgepreservation threshold, that need to be evaluated to determine those values that give optimal performance. Computer simulations with breast-like phantoms were used to study these parameters using various figuresof- merit that relate to performance in detecting microcalcifications. Results suggested that a narrow range of Huber prior parameters give optimal performance. Furthermore, iterative reconstruction provided improved performance measures as compared to conventional filtered back-projection.

Paper Details

Date Published: 9 March 2012
PDF: 7 pages
Proc. SPIE 8313, Medical Imaging 2012: Physics of Medical Imaging, 83131W (9 March 2012); doi: 10.1117/12.912786
Show Author Affiliations
Andrey Makeev, Univ. of Massachusetts Medical School (United States)
Mini Das, Univ. of Houston (United States)
Stephen J. Glick, Univ. of Massachusetts Medical School (United States)

Published in SPIE Proceedings Vol. 8313:
Medical Imaging 2012: Physics of Medical Imaging
Norbert J. Pelc; Robert M. Nishikawa; Bruce R. Whiting, Editor(s)

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