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7 March 2022 Robust multi-volume 3D registration of optical coherence tomography (OCT) volumes
SeyedehMahsa Siadatifini, Yusi Miao, Arman Athwal, Da Ma, Mirza Faisal Beg, Marinko V. Sarunic, Myeong Jin Ju
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Proceedings Volume PC11948, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVI; PC119481C (2022) https://doi.org/10.1117/12.2612385
Event: SPIE BiOS, 2022, San Francisco, California, United States
Abstract
A robust multi-volume three-dimensional (3D) registration algorithm is introduced to improve the contrast of optical coherence tomography (OCT) volumes. Our method involves registering multiple volumes to a selected reference volume to correct for the translational and rotational differences between each target and the reference volume and averaging the registered volumes. We tested our registration algorithm on the volumes obtained from three OCT systems with different field-of-views and resolutions. To demonstrate its accuracy, our developed method is evaluated using two different metrics, and its advantages over the other registration algorithms and its limitations are discussed.
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SeyedehMahsa Siadatifini, Yusi Miao, Arman Athwal, Da Ma, Mirza Faisal Beg, Marinko V. Sarunic, and Myeong Jin Ju "Robust multi-volume 3D registration of optical coherence tomography (OCT) volumes", Proc. SPIE PC11948, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVI, PC119481C (7 March 2022); https://doi.org/10.1117/12.2612385
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KEYWORDS
Optical coherence tomography
3D image processing
Image registration
3D acquisition
Detection and tracking algorithms
Head
Image processing
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