Research Papers: Imaging

Data-driven approach to optimum wavelength selection for diffuse optical imaging

[+] Author Affiliations
Laura A. Dempsey, Robert J. Cooper, Elliott Magee, Adam P. Gibson, Jeremy C. Hebden

University College London, Biomedical Optics Research Laboratory, Department of Medical Physics and Biomedical Engineering, London WC1E 6BT, United Kingdom

Tania Roque

Faculty of Sciences of the University of Lisbon, Institute of Biophysics and Biomedical Engineering, Lisbon 1749-016, Portugal

Teresa Correia

University College London, Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, London WC1E 6BT, United Kingdom

Samuel Powell

University College London, Biomedical Optics Research Laboratory, Department of Medical Physics and Biomedical Engineering, London WC1E 6BT, United Kingdom

University College London, Department of Computer Science, London WC1E 6BT, United Kingdom

J. Biomed. Opt. 20(1), 016003 (Jan 06, 2015). doi:10.1117/1.JBO.20.1.016003
History: Received October 24, 2014; Accepted December 1, 2014
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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.

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© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Laura A. Dempsey ; Robert J. Cooper ; Tania Roque ; Teresa Correia ; Elliott Magee, et al.
"Data-driven approach to optimum wavelength selection for diffuse optical imaging", J. Biomed. Opt. 20(1), 016003 (Jan 06, 2015). ; http://dx.doi.org/10.1117/1.JBO.20.1.016003


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