Spectral oximetry assessed with high-speed ultra-high-resolution optical coherence tomography

We use Fourier domain optical coherence tomography (OCT) data to assess retinal blood oxygen saturation. Three-dimensional disk-centered retinal tissue volumes were assessed in 17 normal healthy subjects. After removing DC and low-frequency a-scan components, an OCT fundus image was created by integ...

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Main Authors: Kagemann, Larry, Wollstein, Gadi, Wojtkowski, Maciej, Ishikawa, Hiroshi, Townsend, Kelly A., Gabriele, Michelle L., Srinivasan, Vivek J., Fujimoto, James G., Schuman, Joel S.
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: SPIE 2014
Online Access:http://hdl.handle.net/1721.1/87641
https://orcid.org/0000-0002-0828-4357
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author Kagemann, Larry
Wollstein, Gadi
Wojtkowski, Maciej
Ishikawa, Hiroshi
Townsend, Kelly A.
Gabriele, Michelle L.
Srinivasan, Vivek J.
Fujimoto, James G.
Schuman, Joel S.
author2 Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
author_facet Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Kagemann, Larry
Wollstein, Gadi
Wojtkowski, Maciej
Ishikawa, Hiroshi
Townsend, Kelly A.
Gabriele, Michelle L.
Srinivasan, Vivek J.
Fujimoto, James G.
Schuman, Joel S.
author_sort Kagemann, Larry
collection MIT
description We use Fourier domain optical coherence tomography (OCT) data to assess retinal blood oxygen saturation. Three-dimensional disk-centered retinal tissue volumes were assessed in 17 normal healthy subjects. After removing DC and low-frequency a-scan components, an OCT fundus image was created by integrating total reflectance into a single reflectance value. Thirty fringe patterns were sampled; 10 each from the edge of an artery, adjacent tissue, and the edge of a vein, respectively. A-scans were recalculated, zeroing the DC term in the power spectrum, and used for analysis. Optical density ratios (ODRs) were calculated as ODR[subscript Art] = ln(Tissue[subscript 855]/Art[subscript 855])/ln(Tissue[subscript 805]/Art[subscript 805) and ODR[subscript Vein] = ln(Tissue[subscript 855]/Vein[subscript 855])/ln(Tissue[subscript 805]/Vein[subscript 805]) with Tissue, Art, and Vein representing total a-scan reflectance at the 805- or 855-nm centered bandwidth. Arterial and venous ODRs were compared by the Wilcoxon signed rank test. Arterial ODRs were significantly greater than venous ODRs (1.007 ± 2.611 and −1.434 ± 4.310, respectively; p = 0.0217) (mean±standard deviation). A difference between arterial and venous blood saturation was detected. This suggests that retinal oximetry may possibly be added as a metabolic measurement in structural imaging devices.
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spelling mit-1721.1/876412022-10-02T05:36:31Z Spectral oximetry assessed with high-speed ultra-high-resolution optical coherence tomography Kagemann, Larry Wollstein, Gadi Wojtkowski, Maciej Ishikawa, Hiroshi Townsend, Kelly A. Gabriele, Michelle L. Srinivasan, Vivek J. Fujimoto, James G. Schuman, Joel S. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Research Laboratory of Electronics Wojtkowski, Maciej Srinivasan, Vivek J. Fujimoto, James G. We use Fourier domain optical coherence tomography (OCT) data to assess retinal blood oxygen saturation. Three-dimensional disk-centered retinal tissue volumes were assessed in 17 normal healthy subjects. After removing DC and low-frequency a-scan components, an OCT fundus image was created by integrating total reflectance into a single reflectance value. Thirty fringe patterns were sampled; 10 each from the edge of an artery, adjacent tissue, and the edge of a vein, respectively. A-scans were recalculated, zeroing the DC term in the power spectrum, and used for analysis. Optical density ratios (ODRs) were calculated as ODR[subscript Art] = ln(Tissue[subscript 855]/Art[subscript 855])/ln(Tissue[subscript 805]/Art[subscript 805) and ODR[subscript Vein] = ln(Tissue[subscript 855]/Vein[subscript 855])/ln(Tissue[subscript 805]/Vein[subscript 805]) with Tissue, Art, and Vein representing total a-scan reflectance at the 805- or 855-nm centered bandwidth. Arterial and venous ODRs were compared by the Wilcoxon signed rank test. Arterial ODRs were significantly greater than venous ODRs (1.007 ± 2.611 and −1.434 ± 4.310, respectively; p = 0.0217) (mean±standard deviation). A difference between arterial and venous blood saturation was detected. This suggests that retinal oximetry may possibly be added as a metabolic measurement in structural imaging devices. 2014-06-05T13:43:42Z 2014-06-05T13:43:42Z 2007-08 2007-06 Article http://purl.org/eprint/type/JournalArticle 10833668 1560-2281 http://hdl.handle.net/1721.1/87641 Kagemann, Larry, Gadi Wollstein, Maciej Wojtkowski, Hiroshi Ishikawa, Kelly A. Townsend, Michelle L. Gabriele, Vivek J. Srinivasan, James G. Fujimoto, and Joel S. Schuman. “Spectral Oximetry Assessed with High-Speed Ultra-High-Resolution Optical Coherence Tomography.” Journal of Biomedical Optics 12, no. 4 (2007): 041212. © 2007 Society of Photo-Optical Instrumentation Engineers https://orcid.org/0000-0002-0828-4357 en_US http://dx.doi.org/10.1117/1.2772655 Journal of Biomedical Optics Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf SPIE SPIE
spellingShingle Kagemann, Larry
Wollstein, Gadi
Wojtkowski, Maciej
Ishikawa, Hiroshi
Townsend, Kelly A.
Gabriele, Michelle L.
Srinivasan, Vivek J.
Fujimoto, James G.
Schuman, Joel S.
Spectral oximetry assessed with high-speed ultra-high-resolution optical coherence tomography
title Spectral oximetry assessed with high-speed ultra-high-resolution optical coherence tomography
title_full Spectral oximetry assessed with high-speed ultra-high-resolution optical coherence tomography
title_fullStr Spectral oximetry assessed with high-speed ultra-high-resolution optical coherence tomography
title_full_unstemmed Spectral oximetry assessed with high-speed ultra-high-resolution optical coherence tomography
title_short Spectral oximetry assessed with high-speed ultra-high-resolution optical coherence tomography
title_sort spectral oximetry assessed with high speed ultra high resolution optical coherence tomography
url http://hdl.handle.net/1721.1/87641
https://orcid.org/0000-0002-0828-4357
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