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Broadband optical mammography: Breast tissue thickness compensation algorithm
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Paper Abstract

We present a method to compensate for breast tissue thickness variability in broadband, continuous-wave, parallel plate optical mammography. Tissue thickness information is relevant for the recovery of chromophore concentrations within the breast using continuous-wave, diffusion-based models that assume the breast to be in slab geometry. This method compensates for the discrepancy between the actual phantom or breast shape and the models assumed slab geometry by approximating the thickness of the probed tissue volume. In this work, we applied our tissue thickness compensation algorithm on a breast shaped, homogeneous, tissue-mimicking phantom. Using the thickness found from our algorithm (referred to as our “estimated thickness”) as an input into a continuous-wave, diffusion based model, we recovered the absorption coefficient throughout all scanned pixels in the phantom and found an overall deviation of 12% from the true absorption coefficient. By using the known phantom thickness, we found a strong shape bias within the absorption coefficient recovery and a larger overall deviation of 29%. To test the algorithm on in vivo measurements, we applied this tissue thickness compensation method to a human breast cancer optical mammogram scan. Since the exact thickness of the breast at each pixel is unknown, we compared these results to when a uniform breast thickness is assumed and found a drastic improvement of cancer visualization. This method allows for parallel plate, continuous-wave optical imaging to compensate for the tissue thickness variability at each scanned pixel when modeling the breast data in slab geometry. This compensated thickness is needed as an input to the model in order to accurately map the breast chromophore concentrations and enhance the image contrast of cancer.

Paper Details

Date Published: 5 March 2015
PDF: 7 pages
Proc. SPIE 9319, Optical Tomography and Spectroscopy of Tissue XI, 93190L (5 March 2015); doi: 10.1117/12.2079200
Show Author Affiliations
Pamela G. Anderson, Tufts Univ. (United States)
Angelo Sassaroli, Tufts Univ. (United States)
Jana M. Kainerstorfer, Tufts Univ. (United States)
Nishanth Krishnamurthy, Tufts Univ. (United States)
Sergio Fantini, Tufts Univ. (United States)

Published in SPIE Proceedings Vol. 9319:
Optical Tomography and Spectroscopy of Tissue XI
Bruce J. Tromberg; Arjun G. Yodh; Eva Marie Sevick-Muraca; Robert R. Alfano, Editor(s)

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