title: Data-driven approach to optimum wavelength selection for diffuse optical imaging.
abstract: The production of accurate and independent images of the changes in concentration of oxyhemoglobin and deoxyhemoglobin by diffuse optical imaging is heavily dependent on which wavelengths of near-infrared light are chosen to interrogate the target tissue. Although wavelengths can be selected by theoretical methods, in practice the accuracy of reconstructed images will be affected by wavelength-specific and system-specific factors such as laser source power and detector sensitivity. We describe the application of a data-driven approach to optimum wavelength selection for the second generation of University College London's multichannel, time-domain optical tomography system (MONSTIR II). By performing a functional activation experiment using 12 different wavelengths between 690 and 870 nm, we were able to identify the combinations of 2, 3, and 4 wavelengths which most accurately reproduced the results obtained using all 12 wavelengths via an imaging approach. Our results show that the set of 2, 3, and 4 wavelengths which produce the most accurate images of functional activation are [770, 810], [770, 790, 850], and [730, 770, 810, 850] respectively, but also that the system is relatively robust to wavelength selection within certain limits. Although these results are specific to MONSTIR II, the approach we developed can be applied to other multispectral near-infrared spectroscopy and optical imaging systems.
authors.affiliation: University College London, Biomedical Optics Research Laboratory, Department of Medical Physics and Biomedical Engineering, London WC1E 6BT, United Kingdom.
authors.forename: Laura A
authors.initials: LA
authors.lastname: Dempsey
authors.affiliation: University College London, Biomedical Optics Research Laboratory, Department of Medical Physics and Biomedical Engineering, London WC1E 6BT, United Kingdom.
authors.forename: Robert J
authors.initials: RJ
authors.lastname: Cooper
authors.affiliation: Faculty of Sciences of the University of Lisbon, Institute of Biophysics and Biomedical Engineering, Lisbon 1749-016, Portugal.
authors.forename: Tania
authors.initials: T
authors.lastname: Roque
authors.affiliation: University College London, Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, London WC1E 6BT, United Kingdom.
authors.forename: Teresa
authors.initials: T
authors.lastname: Correia
authors.affiliation: University College London, Biomedical Optics Research Laboratory, Department of Medical Physics and Biomedical Engineering, London WC1E 6BT, United Kingdom.
authors.forename: Elliott
authors.initials: E
authors.lastname: Magee
authors.affiliation: University College London, Biomedical Optics Research Laboratory, Department of Medical Physics and Biomedical Engineering, London WC1E 6BT, United KingdomdUniversity College London, Department of Computer Science, London WC1E 6BT, United Kingdom.
authors.forename: Samuel
authors.initials: S
authors.lastname: Powell
authors.affiliation: University College London, Biomedical Optics Research Laboratory, Department of Medical Physics and Biomedical Engineering, London WC1E 6BT, United Kingdom.
authors.forename: Adam P
authors.initials: AP
authors.lastname: Gibson
authors.affiliation: University College London, Biomedical Optics Research Laboratory, Department of Medical Physics and Biomedical Engineering, London WC1E 6BT, United Kingdom.
authors.forename: Jeremy C
authors.initials: JC
authors.lastname: Hebden
mesh_terms: D000328:Adult; D001921:Brain / Q000502:physiology; D001931:Brain Mapping / Q000379:methods; D005385:Fingers / Q000502:physiology; D006454:Hemoglobins / Q000032:analysis; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008875:Middle Aged; D009068:Movement / Q000502:physiology; D019265:Spectroscopy, Near-Infrared / Q000379:methods*; D041622:Tomography, Optical / Q000379:methods*; D055815:Young Adult
chemical_list: D006454:Hemoglobins