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Quantifying tissue microvasculature with speckle variance optical coherence tomography |
Optics Letters, Vol. 37, Issue 15, pp. 3180-3182 (2012)
http://dx.doi.org/10.1364/OL.37.003180
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Abstract
In this Letter, we demonstrate high resolution, three-dimensional optical imaging of in vivo blood vessel networks using speckle variance optical coherence tomography, and the quantification of these images through the development of biologically relevant metrics using image processing and segmentation techniques. Extracted three-dimensional metrics include vascular density, vessel tortuosity, vascular network fractal dimension, and tissue vascularity. We demonstrate the ability of this quantitative imaging approach to characterize normal and tumor vascular networks in a preclinical animal model and the potential for quantitative, longitudinal vascular treatment response monitoring.
© 2012 Optical Society of America
OCIS Codes
(100.2000) Image processing : Digital image processing
(100.2960) Image processing : Image analysis
(110.4500) Imaging systems : Optical coherence tomography
(170.3880) Medical optics and biotechnology : Medical and biological imaging
(170.6935) Medical optics and biotechnology : Tissue characterization
ToC Category:
Medical Optics and Biotechnology
History
Original Manuscript: May 15, 2012
Manuscript Accepted: June 8, 2012
Published: July 25, 2012
Virtual Issues
Vol. 7, Iss. 10 Virtual Journal for Biomedical Optics
Citation
Leigh Conroy, Ralph S. DaCosta, and I. Alex Vitkin, "Quantifying tissue microvasculature with speckle variance optical coherence tomography," Opt. Lett. 37, 3180-3182 (2012)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-37-15-3180
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