Motion artifact removal of optical coherence tomography angiography based on tensor voting

Ang Li; Congwu Du; Yingtian Pan

doi:10.1117/12.2510559

22 February 2019 Motion artifact removal of optical coherence tomography angiography based on tensor voting

Ang Li, Congwu Du, Yingtian Pan

Proceedings Volume 10867, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXIII; 108671R (2019) https://doi.org/10.1117/12.2510559
Event: SPIE BiOS, 2019, San Francisco, California, United States

Abstract

Optical coherence tomography angiography (OCTA) is a promising tool for imaging subsurface microvascular networks owing to its micron-level resolution and high sensitivity. However, it is not uncommon that OCTA imaging tend to suffer from strip artifacts induced by tissue motion. Although various algorithms for motion correction have been reported, a method that enables motion correction on a single en face OCTA image remains a challenge. In this study, we proposed a novel motion correction approach based on microvasculature detection and broken gap filling. Unlike previous methods using registration to restore disturbed vasculature during motion artifact removal, tensor voting is performed in individual projected image to connect the broken vasculature. Both simulation and in vivo 3D OCTA imaging of mouse bladder are performed to validate the effectiveness of this method. A comparison of in vivo images before and after motion correction shows that our method effectively corrects tissue motion artifacts while preserving continuity of vasculature network. Furthermore, in vivo results of this technique are presented to demonstrate the utility for imaging tumor angiogenesis in the mouse bladder.

Conference Presentation

Citation Download Citation

Ang Li, Congwu Du, and Yingtian Pan "Motion artifact removal of optical coherence tomography angiography based on tensor voting", Proc. SPIE 10867, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXIII, 108671R (22 February 2019); https://doi.org/10.1117/12.2510559

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