Efficient and high accuracy 3-D OCT angiography motion correction in pathology
Name
boe-12-1-125.pdf
Description
Published version
Size
24.21 MB
Format
Adobe PDF
Checksum (MD5)
e444f2896baa9f13f9fcee3bc567386c
Author(s)
Ploner, Stefan B
Kraus, Martin F
Moult, Eric M
Husvogt, Lennart
Schottenhamml, Julia
Yasin Alibhai, A
Waheed, Nadia K
Duker, Jay S
Fujimoto, James G
Maier, Andreas K
Date Issued
2021
Journal
Biomedical Optics Express
Publisher
The Optical Society
Citation
Ploner, Stefan B, Kraus, Martin F, Moult, Eric M, Husvogt, Lennart, Schottenhamml, Julia et al. 2021. "Efficient and high accuracy 3-D OCT angiography motion correction in pathology." Biomedical Optics Express, 12 (1).
Version
Final published version
Abstract
© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement We describe a novel method for non-rigid 3-D motion correction of orthogonally raster-scanned optical coherence tomography angiography volumes. This is the first approach that aligns predominantly axial structural features such as retinal layers as well as transverse angiographic vascular features in a joint optimization. Combined with orthogonal scanning and favorization of kinematically more plausible displacements, subpixel alignment and micrometer-scale distortion correction is achieved in all 3 dimensions. As no specific structures are segmented, the method is by design robust to pathologic changes. Furthermore, the method is designed for highly parallel implementation and short runtime, allowing its integration into clinical workflow even for high density or wide-field scans. We evaluated the algorithm with metrics related to clinically relevant features in an extensive quantitative evaluation based on 204 volumetric scans of 17 subjects, including patients with diverse pathologies and healthy controls. Using this method, we achieve state-of-the-art axial motion correction and show significant advances in both transverse co-alignment and distortion correction, especially in the subgroup with pathology.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1364/BOE.411117
