Statistical intensity variation analysis for rapid volumetric imaging of capillary network flux

We present a novel optical coherence tomography (OCT)-based technique for rapid volumetric imaging of red blood cell (RBC) flux in capillary networks. Previously we reported that OCT can capture individual RBC passage within a capillary, where the OCT intensity signal at a voxel fluctuates when an R...

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Bibliographic Details
Published in:Biomedical optics express 2014-04, Vol.5 (4), p.1160-1172
Main Authors: Lee, Jonghwan, Jiang, James Y, Wu, Weicheng, Lesage, Frederic, Boas, David A
Format: Article
Language:English
Subjects:
Cardiovascular Applications
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Summary:We present a novel optical coherence tomography (OCT)-based technique for rapid volumetric imaging of red blood cell (RBC) flux in capillary networks. Previously we reported that OCT can capture individual RBC passage within a capillary, where the OCT intensity signal at a voxel fluctuates when an RBC passes the voxel. Based on this finding, we defined a metric of statistical intensity variation (SIV) and validated that the mean SIV is proportional to the RBC flux [RBC/s] through simulations and measurements. From rapidly scanned volume data, we used Hessian matrix analysis to vectorize a segment path of each capillary and estimate its flux from the mean of the SIVs gathered along the path. Repeating this process led to a 3D flux map of the capillary network. The present technique enabled us to trace the RBC flux changes over hundreds of capillaries with a temporal resolution of ~1 s during functional activation.
ISSN:2156-7085
2156-7085
DOI:10.1364/BOE.5.001160