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Proceedings Paper

Optimizing breast-tomosynthesis acquisition parameters with scanning model observers
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Paper Abstract

In breast tomosynthesis (BT), multiple x-ray projections obtained over a limited angular span are reconstructed to produce a three-dimensional (3D) volume. This 3D imagery can lead to reduced structural masking effects compared to conventional mammography. Accordingly, there has been considerable interest in optimizing acquisition and reconstruction parameters associated with BT. In this work, we evaluate the use of a scanning model observer and localization ROC (LROC) methodology for performing a task-based optimization of the angular span and number of projection angles for a simulated BT system. The observer was applied to extracted slices of 3D volumes reconstructed with filtered backprojection. Both "background-known-exactly" (BKE) and "quasi-BKE" (QBKE) tasks were conducted. The latter task attempts to account for limited observer training by preserving structural noise in the detection task. Reduced noise in the form of fewer projections was important with the BKE task, although wider angular spans were also advantageous. Higher sampling densities may improve performance for the more-realistic QBKE tasks.

Paper Details

Date Published: 6 March 2008
PDF: 9 pages
Proc. SPIE 6917, Medical Imaging 2008: Image Perception, Observer Performance, and Technology Assessment, 69170S (6 March 2008); doi: 10.1117/12.771018
Show Author Affiliations
H. C. Gifford, Univ. of Massachusetts Medical School (United States)
C. S. Didier, Univ. of Massachusetts Medical School (United States)
Univ. of Massachusetts-Lowell (United States)
Mini Das, Univ. of Massachusetts Medical School (United States)
S. J. Glick, Univ. of Massachusetts Medical School (United States)


Published in SPIE Proceedings Vol. 6917:
Medical Imaging 2008: Image Perception, Observer Performance, and Technology Assessment
Berkman Sahiner; David J. Manning, Editor(s)

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