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Analysis of volume overestimation artifacts in the breast outline segmentation in tomosynthesis
Author(s): Raymond J. Acciavatti; Alejandro Rodríguez-Ruiz; Trevor L. Vent; Predrag R. Bakic; Ingrid Reiser; Ioannis Sechopoulos; Andrew D. A. Maidment
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Paper Abstract

In digital breast tomosynthesis (DBT), the reconstruction is calculated from x-ray projection images acquired over a small range of angles. One step in the reconstruction process is to identify the pixels that fall outside the shadow of the breast, to segment the breast from the background (air). In each projection, rays are back-projected from these pixels to the focal spot. All voxels along these rays are identified as air. By combining these results over all projections, a breast outline can be determined for the reconstruction. This paper quantifies the accuracy of this breast segmentation strategy in DBT. In this study, a physical phantom modeling a breast under compression was analyzed with a prototype next-generation tomosynthesis (NGT) system described in previous work. Multiple wires were wrapped around the phantom. Since the wires are thin and high contrast, their exact location can be determined from the reconstruction. Breast parenchyma was portrayed outside the outline defined by the wires. Specifically, the size of the phantom was overestimated along the posteroanterior (PA) direction; i.e., perpendicular to the plane of conventional source motion. To analyze how the acquisition geometry affects the accuracy of the breast outline segmentation, a computational phantom was also simulated. The simulation identified two ways to improve the segmentation accuracy; either by increasing the angular range of source motion laterally or by increasing the range in the PA direction. The latter approach is a unique feature of the NGT design; the advantage of this approach was validated with our prototype system.

Paper Details

Date Published: 9 March 2018
PDF: 8 pages
Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging, 1057359 (9 March 2018); doi: 10.1117/12.2293253
Show Author Affiliations
Raymond J. Acciavatti, The Univ. of Pennsylvania (United States)
Alejandro Rodríguez-Ruiz, Radboud Univ. Medical Ctr. (Netherlands)
Trevor L. Vent, The Univ. of Pennsylvania (United States)
Predrag R. Bakic, The Univ. of Pennsylvania (United States)
Ingrid Reiser, The Univ. of Chicago (United States)
Ioannis Sechopoulos, Radboud Univ. Medical Ctr. (Netherlands)
Andrew D. A. Maidment, The Univ. of Pennsylvania (United States)

Published in SPIE Proceedings Vol. 10573:
Medical Imaging 2018: Physics of Medical Imaging
Joseph Y. Lo; Taly Gilat Schmidt; Guang-Hong Chen, Editor(s)

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