Abstract / Description of output
Optical coherence tomography angiography (OCTA) is a non-invasive imaging method that can visualize the finest vascular networks in the human retina. OCTA image analysis has been successfully applied to the investigation of retinal vascular diseases of the eye and other systemic conditions that may manifest in the eye. To characterize and distinguish OCTA images from different pathologies, it is important to identify quantitative metrics and phenotypes that have high reproducibility and are not overly susceptible to the effects of imaging artifacts. This paper demonstrates the reproducibility of several recently demonstrated candidate OCTA quantitative metrics: mean curvature and tortuosity of the whole, foveal, superior, nasal, inferior, and temporal regions; foveal and parafoveal vessel skeleton density; and finally, foveal avascular zone area and acircularity index. This paper also highlights the importance of vessel segmentation choice on reproducibility using two different segmentation methods: optimally oriented flux and Frangi filter.
Original language | English |
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Title of host publication | Medical Image Understanding and Analysis - 25th Annual Conference, MIUA 2021, Proceedings |
Editors | Bartłomiej W. Papież, Mohammad Yaqub, Jianbo Jiao, Ana I. Namburete, J. Alison Noble |
Publisher | Springer |
Pages | 238-249 |
Number of pages | 12 |
ISBN (Electronic) | 978-3-030-80432-9 |
ISBN (Print) | 9783030804312 |
DOIs | |
Publication status | Published - 6 Jul 2021 |
Event | 25th Annual Conference on Medical Image Understanding and Analysis, MIUA 2021 - Virtual, Online Duration: 12 Jul 2021 → 14 Jul 2021 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 12722 LNCS |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 25th Annual Conference on Medical Image Understanding and Analysis, MIUA 2021 |
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City | Virtual, Online |
Period | 12/07/21 → 14/07/21 |
Keywords / Materials (for Non-textual outputs)
- OCTA imaging
- Reproducibility
- Retinal vascular phenotype
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Image Analysis Core
Tom MacGillivray (Manager) & Calum Gray (Other)
Work Enabled by Edinburgh Clinical Research FacilityFacility/equipment: Facility