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Special Section on Optical Diagnostic and Biophotonic Methods from Bench to Bedside

Wavelength optimization for rapid chromophore mapping using spatial frequency domain imaging

[+] Author Affiliations
Amaan Mazhar

University of California, Department of Biomedical Engineering and Beckman Laser Institute, and Medical Clinic Irvine, California 92612

Steven Dell

University of California, Beckman Laser Institute and Medical Clinic, Irvine, California 92612

David J. Cuccia

Modulated Imaging Incorporated, Technology Incubator Office, Irvine, California 92612

Sylvain Gioux

Boston Univeristy, Department of Biomedical Engineering, Boston, Massachusetts 02215 and Beth Israel Deaconess Medical Center, Division of Hematology/Oncology, Department of Medicine Boston, Massachusetts 02215

Anthony J. Durkin

University of California, Beckman Laser Institute and Medical Clinic, Irvine, California 92612

John V. Frangioni

Beth Israel Deaconess Medical Center, Division of Hematology/Oncology, Department of Medicine and Department of Radiology, Boston, Massachusetts 02215

Bruce J. Tromberg

University of California, Department of Biomedical Engineering and Beckman Laser Institute, and Medical Clinic Irvine, California 92612

J. Biomed. Opt. 15(6), 061716 (February 03, 2010October 07, 2010October 14, 2010December 23, 2010). doi:10.1117/1.3523373
History: Received February 03, 2010; Revised October 07, 2010; Accepted October 14, 2010; Published December 23, 2010
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Spatial frequency-domain imaging (SFDI) utilizes multiple-frequency structured illumination and model-based computation to generate two-dimensional maps of tissue absorption and scattering properties. SFDI absorption data are measured at multiple wavelengths and used to fit for the tissue concentration of intrinsic chromophores in each pixel. This is done with a priori knowledge of the basis spectra of common tissue chromophores, such as oxyhemoglobin (ctO2Hb), deoxyhemoglobin (ctHHb), water (ctH2O), and bulk lipid. The quality of in vivo SFDI fits for the hemoglobin parameters ctO2Hb and ctHHb is dependent on wavelength selection, fitting parameters, and acquisition rate. The latter is critical because SFDI acquisition time is up to six times longer than planar two-wavelength multispectral imaging due to projection of multiple-frequency spatial patterns. Thus, motion artifact during in vivo measurements compromises the quality of the reconstruction. Optimal wavelength selection is examined through matrix decomposition of basis spectra, simulation of data, and dynamic in vivo measurements of a human forearm during cuff occlusion. Fitting parameters that minimize cross-talk from additional tissue chromophores, such as water and lipid, are determined. On the basis of this work, a wavelength pair of 670 nm/850 nm is determined to be the optimal two-wavelength combination for in vivo hemodynamic tissue measurements provided that assumptions for water and lipid fractions are made in the fitting process. In our SFDI case study, wavelength optimization reduces acquisition time over 30-fold to 1.5s compared to 50s for a full 34-wavelength acquisition. The wavelength optimization enables dynamic imaging of arterial occlusions with improved spatial resolution due to reduction of motion artifacts.

Figures in this Article
© 2010 Society of Photo-Optical Instrumentation Engineers

Citation

Amaan Mazhar ; Steven Dell ; David J. Cuccia ; Sylvain Gioux ; Anthony J. Durkin, et al.
"Wavelength optimization for rapid chromophore mapping using spatial frequency domain imaging", J. Biomed. Opt. 15(6), 061716 (February 03, 2010October 07, 2010October 14, 2010December 23, 2010). ; http://dx.doi.org/10.1117/1.3523373


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