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Proceedings Paper

Wavelength optimization of the spectral derivative method improves quantification of chromophore values in NIR reconstruction
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Paper Abstract

We present a wavelength optimization approach incorporating the spectral derivative method in near infrared (NIR) reconstruction. The similarity between spectral features of oxy-hemoglobin and water leads to difficulty in separating them with any spectral reconstruction method. By taking the difference of wavelength pairs and using a spectral derivative fitting method, this similarity can be broken down to better differentiate each set of two chromophores. Optimal wavelength permutations were chosen based on the criteria of minimum correlation of the differences in adjacent wavelengths. The direct and derivative methods were then compared with optimal wavelength sets in two and three dimensional reconstructions. The wavelength optimized derivative method shows superior results in the recovery of chromophore concentrations. This approach can not only yield reduced coupling and geometry errors, it also shows better separation of one chromophore from others.

Paper Details

Date Published: 12 February 2009
PDF: 7 pages
Proc. SPIE 7174, Optical Tomography and Spectroscopy of Tissue VIII, 71740H (12 February 2009); doi: 10.1117/12.810541
Show Author Affiliations
Jia Wang, Dartmouth College (United States)
Brian W. Pogue, Dartmouth College (United States)
Shudong Jiang, Dartmouth College (United States)
Keith D. Paulsen, Dartmouth College (United States)

Published in SPIE Proceedings Vol. 7174:
Optical Tomography and Spectroscopy of Tissue VIII
Bruce J. Tromberg; Arjun G. Yodh; Mamoru Tamura; Eva M. Sevick-Muraca; Robert R. Alfano, Editor(s)

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