1 March 2016 Diffuse optical tomography with structured-light patterns to quantify breast density
Author Affiliations +
Breast density is an independent risk factor for breast cancer, where women with denser breasts are more likely to develop cancer. By identifying women at higher risk, healthcare providers can suggest screening at a younger age to effectively diagnose and treat breast cancer in its earlier stages. Clinical risk assessment models currently do not incorporate breast density, despite its strong correlation with breast cancer. Current methods to measure breast density rely on mammography and MRI, both of which may be difficult to use as a routine risk assessment tool. We propose to use diffuse optical tomography with structured-light to measure the dense, fibroglandular (FGT) tissue volume, which has a different chromophore signature than the surrounding adipose tissue. To test the ability of this technique, we performed simulations by creating numerical breast phantoms from segmented breast MR images. We looked at two different cases, one with a centralized FGT distribution and one with a dispersed distribution. As expected, the water and lipid volumes segmented at half-maximum were overestimated for the dispersed case. However, it was noticed that the recovered water and lipid concentrations were lower and higher, respectively, than the centralized case. This information may provide insight into the morphological distribution of the FGT and can be a correction in estimating the breast density.
Conference Presentation
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jessica Kwong, Jessica Kwong, Farouk Nouizi, Farouk Nouizi, Jaedu Cho, Jaedu Cho, Jie Zheng, Jie Zheng, Yifan Li, Yifan Li, Jeon-hor Chen, Jeon-hor Chen, Min-Ying Su, Min-Ying Su, Gultekin Gulsen, Gultekin Gulsen, "Diffuse optical tomography with structured-light patterns to quantify breast density", Proc. SPIE 9689, Photonic Therapeutics and Diagnostics XII, 968942 (1 March 2016); doi: 10.1117/12.2213742; https://doi.org/10.1117/12.2213742

Back to Top