Paper
12 February 2009 Wavelength optimization of the spectral derivative method improves quantification of chromophore values in NIR reconstruction
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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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jia Wang, Brian W. Pogue, Shudong Jiang, and Keith D. Paulsen "Wavelength optimization of the spectral derivative method improves quantification of chromophore values in NIR reconstruction", Proc. SPIE 7174, Optical Tomography and Spectroscopy of Tissue VIII, 71740H (12 February 2009); https://doi.org/10.1117/12.810541
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KEYWORDS
Chromophores

Near infrared

Diffuse optical tomography

Absorption

Optical tomography

Tomography

Imaging systems

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