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Speckle variance optical coherence tomography of the rodent spinal cord: in vivo feasibilityDavid W. Cadotte, Adrian Mariampillai, Adam Cadotte, Kenneth K. C. Lee, Tim-Rasmus Kiehl, Brian C. Wilson, Michael G. Fehlings, and Victor X. D. Yang »View Author Affiliations
David W. Cadotte,1,2,3,11
Adrian Mariampillai,4,7,11
Adam Cadotte,1,3
Kenneth K. C. Lee,4,5
Tim-Rasmus Kiehl,9
Brian C. Wilson,6
Michael G. Fehlings,1,2,3
and Victor X. D. Yang4,5,7,8,10,*
1Division of Neurosurgery, Toronto Western Hospital, Toronto, Ontario, Canada 2Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada 3Krembil Neuroscience Centre, Toronto Western Hospital, University Health Network, Toronto, Ontario, Canada 4Biophotonics and Bioengineering Laboratory, Ryerson University, Toronto, Ontario, Canada 5Department of Electrical and Computer Engineering, University of Toronto, Toronto, Ontario, Canada 6Department of Medical Biophysics, University of Toronto, Toronto, ON, Canada 7Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada 8Department of Medical Imaging, St. Michael’s Hospital, Toronto, Ontario, Canada 9Department of Pathology, University of Toronto, Toronto, Ontario, Canada 10Division of Neurosurgery, St. Michael’s Hospital, Toronto, Ontario, Canada 11These authors contributed equally to this work. *Corresponding author: yangv@ee.ryerson.ca |
Biomedical Optics Express, Vol. 3, Issue 5, pp. 911-919 (2012)
http://dx.doi.org/10.1364/BOE.3.000911
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Abstract
Optical coherence tomography (OCT) has the combined advantage of high temporal (µsec) and spatial (<10µm) resolution. These features make it an attractive tool to study the dynamic relationship between neural activity and the surrounding blood vessels in the spinal cord, a topic that is poorly understood. Here we present work that aims to optimize an in vivo OCT imaging model of the rodent spinal cord. In this study we image the microvascular networks of both rats and mice using speckle variance OCT. This is the first report of depth resolved imaging of the in vivo spinal cord using an entirely endogenous contrast mechanism.
© 2012 OSA
OCIS Codes
(110.4500) Imaging systems : Optical coherence tomography
(170.3880) Medical optics and biotechnology : Medical and biological imaging
(170.2655) Medical optics and biotechnology : Functional monitoring and imaging
ToC Category:
Optical Coherence Tomography
History
Original Manuscript: February 7, 2012
Revised Manuscript: March 24, 2012
Manuscript Accepted: March 31, 2012
Published: April 10, 2012
Citation
David W. Cadotte, Adrian Mariampillai, Adam Cadotte, Kenneth K. C. Lee, Tim-Rasmus Kiehl, Brian C. Wilson, Michael G. Fehlings, and Victor X. D. Yang, "Speckle variance optical coherence tomography of the rodent spinal cord: in vivo feasibility," Biomed. Opt. Express 3, 911-919 (2012)
http://www.opticsinfobase.org/boe/abstract.cfm?URI=boe-3-5-911
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- Y. Jia, P. Li, S. Dziennis, and R. K. Wang, “Responses of peripheral blood flow to acute hypoxia and hyperoxia as measured by optical microangiography,” PLoS ONE6(10), e26802 (2011). [CrossRef] [PubMed]
- P. Enager, H. Piilgaard, N. Offenhauser, A. Kocharyan, P. Fernandes, E. Hamel, and M. Lauritzen, “Pathway-specific variations in neurovascular and neurometabolic coupling in rat primary somatosensory cortex,” J. Cereb. Blood Flow Metab.29(5), 976–986 (2009). [CrossRef] [PubMed]
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- D. Huang, E. A. Swanson, C. P. Lin, J. S. Schuman, W. G. Stinson, W. Chang, M. R. Hee, T. Flotte, K. Gregory, C. A. Puliafito, and J. G. Fujimoto, “Optical coherence tomography,” Science254(5035), 1178–1181 (1991). [CrossRef] [PubMed]
- V. J. Srinivasan, S. Sakadzić, I. Gorczynska, S. Ruvinskaya, W. Wu, J. G. Fujimoto, and D. A. Boas, “Quantitative cerebral blood flow with optical coherence tomography,” Opt. Express18(3), 2477–2494 (2010). [CrossRef] [PubMed]
- V. J. Srinivasan, S. Sakadzić, I. Gorczynska, S. Ruvinskaya, W. Wu, J. G. Fujimoto, and D. A. Boas, “Depth-resolved microscopy of cortical hemodynamics with optical coherence tomography,” Opt. Lett.34(20), 3086–3088 (2009). [CrossRef] [PubMed]
- D. Huang, E. A. Swanson, C. P. Lin, J. S. Schuman, W. G. Stinson, W. Chang, M. R. Hee, T. Flotte, K. Gregory, C. A. Puliafito, and J. G. Fujimoto, “Optical coherence tomography,” Science254(5035), 1178–1181 (1991). [CrossRef] [PubMed]
- V. J. Srinivasan, S. Sakadzić, I. Gorczynska, S. Ruvinskaya, W. Wu, J. G. Fujimoto, and D. A. Boas, “Quantitative cerebral blood flow with optical coherence tomography,” Opt. Express18(3), 2477–2494 (2010). [CrossRef] [PubMed]
- V. J. Srinivasan, S. Sakadzić, I. Gorczynska, S. Ruvinskaya, W. Wu, J. G. Fujimoto, and D. A. Boas, “Depth-resolved microscopy of cortical hemodynamics with optical coherence tomography,” Opt. Lett.34(20), 3086–3088 (2009). [CrossRef] [PubMed]
- F. E. Robles, C. Wilson, G. Grant, and A. Wax, “Molecular imaging true-colour spectroscopic optical coherence tomography,” Nat. Photonics5(12), 744–747 (2011). [CrossRef]
- D. Huang, E. A. Swanson, C. P. Lin, J. S. Schuman, W. G. Stinson, W. Chang, M. R. Hee, T. Flotte, K. Gregory, C. A. Puliafito, and J. G. Fujimoto, “Optical coherence tomography,” Science254(5035), 1178–1181 (1991). [CrossRef] [PubMed]
- P. Enager, H. Piilgaard, N. Offenhauser, A. Kocharyan, P. Fernandes, E. Hamel, and M. Lauritzen, “Pathway-specific variations in neurovascular and neurometabolic coupling in rat primary somatosensory cortex,” J. Cereb. Blood Flow Metab.29(5), 976–986 (2009). [CrossRef] [PubMed]
- D. Huang, E. A. Swanson, C. P. Lin, J. S. Schuman, W. G. Stinson, W. Chang, M. R. Hee, T. Flotte, K. Gregory, C. A. Puliafito, and J. G. Fujimoto, “Optical coherence tomography,” Science254(5035), 1178–1181 (1991). [CrossRef] [PubMed]
- D. Huang, E. A. Swanson, C. P. Lin, J. S. Schuman, W. G. Stinson, W. Chang, M. R. Hee, T. Flotte, K. Gregory, C. A. Puliafito, and J. G. Fujimoto, “Optical coherence tomography,” Science254(5035), 1178–1181 (1991). [CrossRef] [PubMed]
- V. J. Srinivasan, D. N. Atochin, H. Radhakrishnan, J. Y. Jiang, S. Ruvinskaya, W. Wu, S. Barry, A. E. Cable, C. Ayata, P. L. Huang, and D. A. Boas, “Optical coherence tomography for the quantitative study of cerebrovascular physiology,” J. Cereb. Blood Flow Metab.31(6), 1339–1345 (2011). [CrossRef] [PubMed]
- Y. Jia, P. Li, S. Dziennis, and R. K. Wang, “Responses of peripheral blood flow to acute hypoxia and hyperoxia as measured by optical microangiography,” PLoS ONE6(10), e26802 (2011). [CrossRef] [PubMed]
- A. Mariampillai, B. A. Standish, E. H. Moriyama, M. Khurana, N. R. Munce, M. K. Leung, J. Jiang, A. Cable, B. C. Wilson, I. A. Vitkin, and V. X. Yang, “Speckle variance detection of microvasculature using swept-source optical coherence tomography,” Opt. Lett.33(13), 1530–1532 (2008). [CrossRef] [PubMed]
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- M. R. Chatni, J. Yao, A. Danielli, C. P. Favazza, K. I. Maslov, and L. V. Wang, “Functional photoacoustic microscopy of pH,” J. Biomed. Opt.16(10), 100503 (2011). [CrossRef] [PubMed]
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- D. Huang, E. A. Swanson, C. P. Lin, J. S. Schuman, W. G. Stinson, W. Chang, M. R. Hee, T. Flotte, K. Gregory, C. A. Puliafito, and J. G. Fujimoto, “Optical coherence tomography,” Science254(5035), 1178–1181 (1991). [CrossRef] [PubMed]
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- D. Huang, E. A. Swanson, C. P. Lin, J. S. Schuman, W. G. Stinson, W. Chang, M. R. Hee, T. Flotte, K. Gregory, C. A. Puliafito, and J. G. Fujimoto, “Optical coherence tomography,” Science254(5035), 1178–1181 (1991). [CrossRef] [PubMed]
- S. Sasaki, I. Yazawa, N. Miyakawa, H. Mochida, K. Shinomiya, K. Kamino, Y. Momose-Sato, and K. Sato, “Optical imaging of intrinsic signals induced by peripheral nerve stimulation in the in vivo rat spinal cord,” Neuroimage17(3), 1240–1255 (2002). [CrossRef] [PubMed]
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- V. J. Srinivasan, D. N. Atochin, H. Radhakrishnan, J. Y. Jiang, S. Ruvinskaya, W. Wu, S. Barry, A. E. Cable, C. Ayata, P. L. Huang, and D. A. Boas, “Optical coherence tomography for the quantitative study of cerebrovascular physiology,” J. Cereb. Blood Flow Metab.31(6), 1339–1345 (2011). [CrossRef] [PubMed]
- V. J. Srinivasan, S. Sakadzić, I. Gorczynska, S. Ruvinskaya, W. Wu, J. G. Fujimoto, and D. A. Boas, “Quantitative cerebral blood flow with optical coherence tomography,” Opt. Express18(3), 2477–2494 (2010). [CrossRef] [PubMed]
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- V. J. Srinivasan, S. Sakadzić, I. Gorczynska, S. Ruvinskaya, W. Wu, J. G. Fujimoto, and D. A. Boas, “Depth-resolved microscopy of cortical hemodynamics with optical coherence tomography,” Opt. Lett.34(20), 3086–3088 (2009). [CrossRef] [PubMed]
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Appl. Opt.
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Biomed. Opt. Express
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Curr. Pharm. Biotechnol.
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J. Acoust. Soc. Am.
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J. Biomed. Opt.
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J. Cereb. Blood Flow Metab.
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- V. J. Srinivasan, D. N. Atochin, H. Radhakrishnan, J. Y. Jiang, S. Ruvinskaya, W. Wu, S. Barry, A. E. Cable, C. Ayata, P. L. Huang, and D. A. Boas, “Optical coherence tomography for the quantitative study of cerebrovascular physiology,” J. Cereb. Blood Flow Metab.31(6), 1339–1345 (2011). [CrossRef] [PubMed]
J. Neurophysiol.
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J. Neurosci. Methods
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Magn. Reson. Imaging
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