Artefacts Removal from Optical Coherence Tomography Angiography
Author(s) -
Ee Ping Ong,
Jun Cheng,
Ying Quan,
Guozhen Xu,
Damon Wing Kee Wong
Publication year - 2016
Language(s) - English
Resource type - Conference proceedings
DOI - 10.17077/omia.1049
Subject(s) - computer vision , optical coherence tomography , artificial intelligence , computer science , optical coherence tomography angiography , distortion (music) , coherence (philosophical gambling strategy) , image registration , process (computing) , motion (physics) , optics , image (mathematics) , physics , telecommunications , amplifier , bandwidth (computing) , quantum mechanics , operating system
This paper presents a new approach for artefacts removal from opti- cal coherence tomography angiography (OCTA). The artefacts mainly arise as a result of distortion due to eye movements during OCT scanning process. These distortions manifest themselves as visible motion artefacts when doctors review the enface image of OCTA data. To remove these artefacts, firstly we perform motion registration for the captured OCT volume data and subsequent- ly perform motion correction to obtain the registered OCT data. Next, we com- pute the OCTA from the registered OCT data using an enhanced correlation mapping technique. Thereafter, we compute the enface image from the OCTA data. In the next step, we attempt to locate regions where there is misalignment in the OCT frames of the various B-scans. Finally, we attempt to restore the re- gions where correct data is postulated to be absent. Our experimental results demonstrate the effectiveness of our proposed approach.
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