Paper
24 February 2012 Breast tissue composition and breast density measurements from ultrasound tomography
Mark Sak, Neb Duric, Norman Boyd, Peter Littrup, Erik West, Cuiping Li
Author Affiliations +
Abstract
It is known that breast cancer risk is greater in women with higher breast densities. Currently, breast density is measured using mammographic percent density, defined as the ratio of fibroglandular to total breast area on a two dimensional mammogram. Alternatively, systems that use ultrasound tomography (UST) create tomographic sound speed images of the patient's breast. These volumetric images can be useful as a diagnostic aid because it is also known that sound speed of tissue is proportional to the density of the tissue. The purpose of this work is to expand on the comparisons of the two imaging modalities by introducing new ultrasound tomography measurements that separate and quantify the fatty and dense tissue distributions within the breast. A total of 249 patients were imaged using both imaging modalities. By using k-means clustering, correlations beyond the volume averaged sound speed of the ultrasound images and the mammographic percent density were investigated. Both the ultrasound and mammographic images were separated into dense and fatty regions. Various associations between the global breast properties as well as separate tissue components were found.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mark Sak, Neb Duric, Norman Boyd, Peter Littrup, Erik West, and Cuiping Li "Breast tissue composition and breast density measurements from ultrasound tomography", Proc. SPIE 8320, Medical Imaging 2012: Ultrasonic Imaging, Tomography, and Therapy, 83200Q (24 February 2012); https://doi.org/10.1117/12.912407
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Cited by 5 scholarly publications.
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KEYWORDS
Breast

Mammography

Tissues

Ultrasound tomography

Image segmentation

Breast cancer

Ultrasonography

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