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Proceedings Paper

Wavelength optimization in spectral near-infrared optical tomography
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Paper Abstract

Multi-spectral Near Infrared tomographic imaging has the potential to provide information about patho-physiological function of soft tissue. However, the specific choice of wavelengths used is crucial for the accurate separation of such parameters. It will be demonstrated that the conventionally believed choice of large set of wavelengths can be detrimental in accurate recovery of tissue specific functions. The method of determining a set of optimized bands of wavelengths will be presented and are tested using simulations and experimental data. It will be shown that the optimization method achieves images as accurate as using the full spectrum, but improves crosstalk between parameters. Additionally, a Jacobian normalization technique is presented which takes into account the varying magnitude of different optical parameters within image reconstruction, creating a more uniform update within a spectral image reconstruction model.

Paper Details

Date Published: 20 February 2009
PDF: 11 pages
Proc. SPIE 7171, Multimodal Biomedical Imaging IV, 717107 (20 February 2009); doi: 10.1117/12.807768
Show Author Affiliations
M. E. Eames, Univ. of Exeter (United Kingdom)
J. Wang, Dartmouth College (United States)
B. W. Pogue, Dartmouth College (United States)
H. Dehghani, Univ. of Exeter (United Kingdom)


Published in SPIE Proceedings Vol. 7171:
Multimodal Biomedical Imaging IV
Fred S. Azar; Xavier Intes, Editor(s)

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