Correlation mapping: rapid method for retrieving microcirculation morphology from optical coherence tomography intensity images

E. Jonathan; J. Enfield; M. J. Leahy

doi:10.1117/12.879812

17 February 2011 Correlation mapping: rapid method for retrieving microcirculation morphology from optical coherence tomography intensity images

E. Jonathan, J. Enfield, M. J. Leahy

Author Affiliations +

Proceedings Volume 7898, Dynamics and Fluctuations in Biomedical Photonics VIII; 78980M (2011) https://doi.org/10.1117/12.879812
Event: SPIE BiOS, 2011, San Francisco, California, United States

Abstract

The microcirculation plays a critical role is maintaining organ health and function by serving as a vascular are where trophic metabolism exchanges between blood and tissue takes place. To facilitate regular assessment in vivo, noninvasive microcirculation imagers are required in clinics. Among this group of clinical devices, are those that render microcirculation morphology such as nailfold capillaroscopy, a common device for early diagnosis and monitoring of microangiopathies. However, depth ambiguity disqualify this and other similar techniques in medical tomography where due to the 3-D nature of biological organs, imagers that support depth-resolved 2-D imaging and 3-D image reconstruction are required. Here, we introduce correlation map OCT (cmOCT), a promising technique for microcirculation morphology imaging that combines standard optical coherence tomography and an agile imaging analysis software based on correlation statistic. Promising results are presented of the microcirculation morphology images of the brain region of a small animal model as well as measurements of vessel geometry at bifurcations, such as vessel diameters, branch angles. These data will be useful for obtaining cardiovascular related characteristics such as volumetric flow, velocity profile and vessel-wall shear stress for circulatory and respiratory system.

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E. Jonathan, J. Enfield, and M. J. Leahy "Correlation mapping: rapid method for retrieving microcirculation morphology from optical coherence tomography intensity images", Proc. SPIE 7898, Dynamics and Fluctuations in Biomedical Photonics VIII, 78980M (17 February 2011); https://doi.org/10.1117/12.879812

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