Abstract
We have developed an efficient simulation of breast anatomy over a range of spatial scales, covering tissue details seen in both radiology and pathology images. The simulation is based on recursive partitioning using octrees, and is performed in two stages. First, the macro- and meso-scale anatomical features are simulated: breast outline, skin, and the matrix of tissue compartments and subcompartments, outlined by Cooper’s ligaments. These compartments are labeled as adipose or fibroglandular, according to the desired overall glandularity and the realistic distribution of dense tissue. Second, pathology images are generated to match selected region within the breast, by filling the region with simulated cells (adipocytes, ductal epithelium and myoepithelium, lymphocytes, and fibroblasts) and collagen fibers. Matched synthetic images can support discovery and virtual trials of image-based biomarkers for specific pathology findings. Our proof-of-concept is presented and further optimizations of the simulation discussed.
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Acknowledgments
This research was supported by a grant from the U.S. National Cancer Institute (R01 #CA154444), U.S. National Institute of General Medical Sciences (P20 GM103446) from the National Institutes of Health. The work was also supported in part by the US Department of Defense Breast Cancer Research Program (HBCU Partnership Training Award #BC083639), the US National Science Foundation (CREST grant #HRD-1242067), the US Department of Defense/Department of Army (Award #W911NF-11-2-0046). The authors thank Dr. Brad Keller for providing anonymized, previously collected pathology specimen, obtained as part of his Komen Postdoctoral Fellowship.
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Bakic, P.R., Pokrajac, D.D., Batiste, R., Feldman, M.D., Maidment, A.D.A. (2016). Simulation of Breast Anatomy: Bridging the Radiology-Pathology Scale Gap. In: Tingberg, A., Lång, K., Timberg, P. (eds) Breast Imaging. IWDM 2016. Lecture Notes in Computer Science(), vol 9699. Springer, Cham. https://doi.org/10.1007/978-3-319-41546-8_60
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DOI: https://doi.org/10.1007/978-3-319-41546-8_60
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