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Special Section on Optical Diagnostic Imaging from Bench to Bedside Image and Parameters Analysis

Approximation of Mie scattering parameters in near-infrared tomography of normal breast tissue in vivo

[+] Author Affiliations
Xin Wang

Dartmouth College, Department of Physics and Astronomy, Hanover, New Hampshire 03755

Brian W. Pogue, Shudong Jiang, Xiaomei Song, Keith D. Paulsen

Dartmouth College, Thayer School of Engineering, Hanover, New Hampshire 03755

Christine Kogel, Steven P. Poplack

Dartmouth Medical School, Department of Diagnostic Radiology, Hanover, New Hampshire 03755

Wendy A. Wells

Dartmouth Medical School, Department of Pathology, Hanover, New Hampshire 03755

J. Biomed. Opt. 10(5), 051704 (October 10, 2005). doi:10.1117/1.2098607
History: Received December 03, 2004; Revised January 11, 2005; Accepted January 18, 2005; Published October 10, 2005
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A method for estimating Mie theory scattering parameters from diffuse light tomography measurements in breast tissue is discussed. The approach provides an estimate of the mean particle size and number density given assumptions about the index of refraction change expected in lipid-membrane-bound scatterers. When using a sparse number of wavelengths in the reduced scattering spectra, the parameter extraction technique is limited to representing a continuous distribution of scatterer sizes that appears to be dominated by an exponential decrease with increasing particle size. The fitting method is tested on simulated data and then on Intralipid-based tissue-phantom data, giving a mean particle size of 93±17nm, which is in excellent agreement with expectations. The approach is also applied retrospectively to breast tissue spectra acquired from normal healthy volunteers, where the average particle size and number density were found to be in the range of 20to1400nm. Grouping of the data based on radiographic breast density, as a surrogate measure of tissue composition yielded values of 20 to 65, 25 to 200, 140 to 1200, and 150to1400nm, respectively, for the four BI-RADS (American College of Radiology Breast Imaging Reporting and Data System) density classifications of extremely dense, heterogeneously dense, scattered, and fatty. These results are consistent with the microscopic characteristics of each breast type given the expected progression from predominantly collagenous connective tissue (extremely dense category) to increasing proportions of glandular epithelium and fat (intermediate density categories) to predominantly fat (fatty category).

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© 2005 Society of Photo-Optical Instrumentation Engineers

Citation

Xin Wang ; Brian W. Pogue ; Shudong Jiang ; Xiaomei Song ; Keith D. Paulsen, et al.
"Approximation of Mie scattering parameters in near-infrared tomography of normal breast tissue in vivo", J. Biomed. Opt. 10(5), 051704 (October 10, 2005). ; http://dx.doi.org/10.1117/1.2098607


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