11 August 2015 Characterizing breast lesions through robust multimodal data fusion using independent diffuse optical and x-ray breast imaging
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Abstract
To enable tissue function-based tumor diagnosis over the large number of existing digital mammography systems worldwide, we propose a cost-effective and robust approach to incorporate tomographic optical tissue characterization with separately acquired digital mammograms. Using a flexible contour-based registration algorithm, we were able to incorporate an independently measured two-dimensional x-ray mammogram as structural priors in a joint optical/x-ray image reconstruction, resulting in improved spatial details in the optical images and robust optical property estimation. We validated this approach with a retrospective clinical study of 67 patients, including 30 malignant and 37 benign cases, and demonstrated that the proposed approach can help to distinguish malignant from solid benign lesions and fibroglandular tissues, with a performance comparable to the approach using spatially coregistered optical/x-ray measurements.
Bin Deng, Bin Deng, Maxim Fradkin, Maxim Fradkin, Jean-Michel Rouet, Jean-Michel Rouet, Richard H. Moore, Richard H. Moore, Daniel B. Kopans, Daniel B. Kopans, David A. Boas, David A. Boas, Mats Lundqvist, Mats Lundqvist, Qianqian Fang, Qianqian Fang, } "Characterizing breast lesions through robust multimodal data fusion using independent diffuse optical and x-ray breast imaging," Journal of Biomedical Optics 20(8), 080502 (11 August 2015). https://doi.org/10.1117/1.JBO.20.8.080502 . Submission:
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