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4 April 2022 High resolution segmentation of ductal, glandular and structural tissue: preliminary basis for collaboration with S. Love Foundation
James W. Wiskin, John Klock M.D., Bilal Malik, Susan Love M.D.
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Proceedings Volume PC12038, Medical Imaging 2022: Ultrasonic Imaging and Tomography; PC1203808 (2022) https://doi.org/10.1117/12.2612630
Event: SPIE Medical Imaging, 2022, San Diego, California, United States
Abstract
3D ultrasound tomography (3D-UT, or volography) gives heretofore unavailable resolution and accuracy in the 3D measurement of fibroglandular tissue in breast. The correct segmentation of the fibroglandular tissue requires an accurate high resolution speed of sound map which 3D UT (volography) produces and a robust segmentation algorithm. Our threshold based and Fuzzy C-means based algorithms have been compared and validated visually and with phantoms, and we show the effect of a row/column of dropouts on our reconstructions is minimal and indicate a variation of the volume of fibroglandular tissue in a variety of physiological situations for a select set of cases out of a larger 48 case cohort. We isolate glandular from ductal and structural tissue.
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James W. Wiskin, John Klock M.D., Bilal Malik, and Susan Love M.D. "High resolution segmentation of ductal, glandular and structural tissue: preliminary basis for collaboration with S. Love Foundation", Proc. SPIE PC12038, Medical Imaging 2022: Ultrasonic Imaging and Tomography, PC1203808 (4 April 2022); https://doi.org/10.1117/12.2612630
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KEYWORDS
Tissues
Breast
3D metrology
Fuzzy logic
Ultrasound tomography
Visualization
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