Paper
20 February 2009 Wavelength optimization in spectral near-infrared optical tomography
Author Affiliations +
Proceedings Volume 7171, Multimodal Biomedical Imaging IV; 717107 (2009) https://doi.org/10.1117/12.807768
Event: SPIE BiOS, 2009, San Jose, California, United States
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
M. E. Eames, J. Wang, B. W. Pogue, and H. Dehghani "Wavelength optimization in spectral near-infrared optical tomography", Proc. SPIE 7171, Multimodal Biomedical Imaging IV, 717107 (20 February 2009); https://doi.org/10.1117/12.807768
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KEYWORDS
Scattering

Chromophores

Image restoration

Absorption

Condition numbers

Near infrared

Inverse problems

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