Research Papers: Imaging

Automatic motion correction for in vivo human skin optical coherence tomography angiography through combined rigid and nonrigid registration

[+] Author Affiliations
David Wei Wei, Anthony J. Deegan

University of Washington, Department of Bioengineering, Seattle, Washington, United States

Ruikang K. Wang

University of Washington, Department of Bioengineering, Seattle, Washington, United States

University of Washington, Department of Ophthalmology, Seattle, Washington, United States

J. Biomed. Opt. 22(6), 066013 (Jun 21, 2017). doi:10.1117/1.JBO.22.6.066013
History: Received March 16, 2017; Accepted June 7, 2017
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Abstract.  When using optical coherence tomography angiography (OCTA), the development of artifacts due to involuntary movements can severely compromise the visualization and subsequent quantitation of tissue microvasculatures. To correct such an occurrence, we propose a motion compensation method to eliminate artifacts from human skin OCTA by means of step-by-step rigid affine registration, rigid subpixel registration, and nonrigid B-spline registration. To accommodate this remedial process, OCTA is conducted using two matching all-depth volume scans. Affine transformation is first performed on the large vessels of the deep reticular dermis, and then the resulting affine parameters are applied to all-depth vasculatures with a further subpixel registration to refine the alignment between superficial smaller vessels. Finally, the coregistration of both volumes is carried out to result in the final artifact-free composite image via an algorithm based upon cubic B-spline free-form deformation. We demonstrate that the proposed method can provide a considerable improvement to the final en face OCTA images with substantial artifact removal. In addition, the correlation coefficients and peak signal-to-noise ratios of the corrected images are evaluated and compared with those of the original images, further validating the effectiveness of the proposed method. We expect that the proposed method can be useful in improving qualitative and quantitative assessment of the OCTA images of scanned tissue beds.

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© 2017 Society of Photo-Optical Instrumentation Engineers

Citation

David Wei Wei ; Anthony J. Deegan and Ruikang K. Wang
"Automatic motion correction for in vivo human skin optical coherence tomography angiography through combined rigid and nonrigid registration", J. Biomed. Opt. 22(6), 066013 (Jun 21, 2017). ; http://dx.doi.org/10.1117/1.JBO.22.6.066013


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