Observer study to evaluate the simulation of mammographic calcification clusters

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

doi:10.1117/12.2217257

24 March 2016 Observer study to evaluate the simulation of mammographic calcification clusters

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

Proceedings Volume 9787, Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment; 97871D (2016) https://doi.org/10.1117/12.2217257
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

Abstract

Numerous breast phantoms have been developed to be as realistic as possible to ensure the accuracy of image quality analysis, covering a greater range of applications. In this study, we simulated three different densities of the breast parenchyma using paraffin gel, acrylic plates and PVC films. Hydroxyapatite was used to simulate calcification clusters. From the images acquired with a GE Senographe DR 2000D mammography system, we selected 68 regions of interest (ROIs) with and 68 without a simulated calcification cluster. To validate the phantom simulation, we selected 136 ROIs from the University of South Florida’s Digital Database for Screening Mammography (DDSM). Seven trained observers performed two observer experiments by using a high-resolution monitor Barco mod. E-3620. In the first experiment, the observers had to distinguish between real or phantom ROIs (with and without calcification). In the second one, the observers had to indicate the ROI with calcifications between a pair of ROIs. Results from our study show that the hydroxyapatite calcifications had poor contrast in the simulated breast parenchyma, thus observers had more difficulty in identifying the presence of calcification clusters in phantom images. Preliminary analysis of the power spectrum was conducted to investigate the radiographic density and the contrast thresholds for calcification detection. The values obtained for the power spectrum exponent (β) were comparable with those found in the literature.

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Maria A. Z. Sousa, Karem D. Marcomini, Predrag R. Bakic, Andrew D.A. Maidment, and Homero Schiabel "Observer study to evaluate the simulation of mammographic calcification clusters", Proc. SPIE 9787, Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, 97871D (24 March 2016); https://doi.org/10.1117/12.2217257

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KEYWORDS

Mammography

Breast

Tissues

Digital mammography

Image analysis

Computer aided diagnosis and therapy

Data acquisition

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