title: Motion analysis and removal in intensity variation based OCT angiography.
abstract: In this work, we investigated how bulk motion degraded the quality of optical coherence tomography (OCT) angiography that was obtained through calculating interframe signal variation, i.e., interframe signal variation based optical coherence angiography (isvOCA). We demonstrated theoretically and experimentally that the spatial average of isvOCA signal had an explicit functional dependency on bulk motion. Our result suggested that the bulk motion could lead to an increased background in angiography image. Based on our motion analysis, we proposed to reduce image artifact induced by transient bulk motion in isvOCA through adaptive thresholding. The motion artifact reduced angiography was demonstrated in a 1.3μm spectral domain OCT system. We implemented signal processing using graphic processing unit for real-time imaging and conducted in vivo microvasculature imaging on human skin. Our results clearly showed that the adaptive thresholding method was highly effective in the motion artifact removal for OCT angiography.
authors.affiliation: Department of Electrical and Computer Engineering, New Jersey Institute of Technology, 323 Dr Martin Luther King Jr Blvd, Newark, NJ USA.
authors.forename: Xuan
authors.initials: X
authors.lastname: Liu
authors.affiliation: Department of Biomedical Engineering, Michigan Technological University, 1400 Townsend Dr., Houghton, MI USA.
authors.forename: Mitchell
authors.initials: M
authors.lastname: Kirby
authors.affiliation: Department of Biomedical Engineering, Michigan Technological University, 1400 Townsend Dr., Houghton, MI USA.
authors.forename: Feng
authors.initials: F
authors.lastname: Zhao
keywords: (100.2000) Digital image processing; (110.4500) Optical coherence tomography; (170.2655) Functional monitoring and imaging