Optimal wavelength selection for optical spectroscopy of hemoglobin and water within a simulated light-scattering tissue

Mikael Marois, Steven Jacques, Keith D. Paulsen

Research output: Contribution to journalArticle

Abstract

An algorithm that selects optimal wavelengths for spectral fitting of diffuse light reflectance spectra using a nonnegative least squares method is presented. Oxyhemoglobin, deoxyhemoglobin, and water are considered representative absorbers, but the approach is not constrained or limited by absorber selection provided native basis spectra are available. The method removes wavelengths iteratively from a scattering-modulated absorption matrix by maximizing the product of its singular values and offers considerable improvements over previously published wavelength selection schemes. Resulting wavelength selections are valid for a broad range of optical properties and yield lower RMS errors than other wavelength combinations. The method is easily modified and broadly applicable to tissue optical spectroscopy. Adaptation of the algorithm to select optimal light-emitting diodes for fitting blood is described.

Original languageEnglish (US)
Article number071202
JournalJournal of Biomedical Optics
Volume23
Issue number7
DOIs
StatePublished - Jul 1 2018
Externally publishedYes

Fingerprint

Hemoglobin
hemoglobin
Light scattering
Hemoglobins
light scattering
Tissue
Wavelength
Water
wavelengths
water
spectroscopy
absorbers
oxyhemoglobin
Oxyhemoglobins
least squares method
blood
Light emitting diodes
Blood
light emitting diodes
Optical properties

Keywords

  • reflectance
  • spectral fitting
  • wavelength selection

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Biomedical Engineering

Cite this

Optimal wavelength selection for optical spectroscopy of hemoglobin and water within a simulated light-scattering tissue. / Marois, Mikael; Jacques, Steven; Paulsen, Keith D.

In: Journal of Biomedical Optics, Vol. 23, No. 7, 071202, 01.07.2018.

Research output: Contribution to journalArticle

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