A comparison of methods to evaluate gray scale response of tomosynthesis systems using a software breast phantom

Maria A. Z. Sousa; Predrag R. Bakic Sr.; Homero Schiabel Sr.; Andrew D. A. Maidment

doi:10.1117/12.2255554

10 March 2017 A comparison of methods to evaluate gray scale response of tomosynthesis systems using a software breast phantom

Maria A. Z. Sousa, Predrag R. Bakic Sr., Homero Schiabel Sr., Andrew D. A. Maidment

Author Affiliations +

Proceedings Volume 10136, Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment; 101360J (2017) https://doi.org/10.1117/12.2255554
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

Abstract

Digital breast tomosynthesis (DBT) has been shown to be an effective imaging tool for breast cancer diagnosis as it provides three-dimensional images of the breast with minimal tissue overlap. The quality of the reconstructed image depends on many factors that can be assessed using uniform or realistic phantoms. In this paper, we created four models of phantoms using an anthropomorphic software breast phantom and compared four methods to evaluate the gray scale response in terms of the contrast, noise and detectability of adipose and glandular tissues binarized according to phantom ground truth. For each method, circular regions of interest (ROIs) were selected with various sizes, quantity and positions inside a square area in the phantom. We also estimated the percent density of the simulated breast and the capability of distinguishing both tissues by receiver operating characteristic (ROC) analysis. Results shows a sensitivity of the methods to the ROI size, placement and to the slices considered.

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Citation Download Citation

Maria A. Z. Sousa, Predrag R. Bakic Sr., Homero Schiabel Sr., and Andrew D. A. Maidment "A comparison of methods to evaluate gray scale response of tomosynthesis systems using a software breast phantom", Proc. SPIE 10136, Medical Imaging 2017: Image Perception, Observer Performance, and Technology Assessment, 101360J (10 March 2017); https://doi.org/10.1117/12.2255554

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