Description
- Abstract:
- We propose a set of deep learning approaches based on convolutional neural networks (CNNs) to automated enhancement, segmentation and gap-correction of OCTA images, especially of those obtained from the rodent cortex. Additionally, we present a strategy for skeletonizing the segmented OCTA and extracting the underlying vascular graph, which enables the quantitative assessment of various angioarchitectural properties, including individual vessel lengths and tortuosity.
- Notes:
- This research is funded by the NIH National Eye Institute under award R01EY030569 and NIH National Institute on Aging (NIA) under award R01AG067228.
Access Conditions
- Use and Reproduction
-
- This work is licensed under a GNU GPL3 License
Citation
Stefan, Sabina, and Lee, Jonghwan,
"MATLAB script to enhance, segment and vectorize 3D OCT microangiograms"
(2021).
Brown University Open Data Collection, (NIH R01AG067228) Long-Term Tracking of Cerebral Microvascular Structural and Functional Alterations between Normal and Alzheimer's Aging, (NIH R01EY030569) Plasmonic Retinal Prosthesis.
Brown Digital Repository. Brown University Library.
https://doi.org/10.26300/15yf-tx16
Relations
Collections:
-
Brown University Open Data Collection
This collection contains open and public access data sets created by Brown University faculty and student researchers. Increasingly, publishers and funders are requiring that protocols, data sets, documentation and code underlying publications be retained and preserved in repositories, their locations …... -
(NIH R01AG067228) Long-Term Tracking of Cerebral Microvascular Structural and Functional Alterations between Normal and Alzheimer's Aging
This collection is for the preservation and public dissemination of Lee Lab's digital research data and code files created and collected under the NIH National Institute on Aging-funded project "Long-Term Tracking of Cerebral Microvascular Structural and Functional Alterations between Normal …... -
(NIH R01EY030569) Plasmonic Retinal Prosthesis
This collection is for the preservation and public dissemination of Lee Lab's digital research data and code files created and collected under the NIH National Eye Institute-funded project "Plasmonic Retinal Prosthesis" (NIH R01EY030569). Please cite the digital object identifier (DOI) …...