Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Automated counting method to assess cerebral penetrating vessels in perfusion using optical coherence tomography

Full metadata record
DC Field Value Language
dc.contributor.authorChoi, W.J.-
dc.contributor.authorKim, J.K.-
dc.date.accessioned2023-10-04T06:40:58Z-
dc.date.available2023-10-04T06:40:58Z-
dc.date.issued2022-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/67962-
dc.description.abstractPenetrating vessels emanating from cortical surface vasculature and extending into the cortex are key perfused conduits to shuttle blood from superficial pial vessels to capillaries in parenchyma for nourishment of the neuronal tissues in the brain. Locating and counting the functional penetrating vessels is an interesting task to quantify the course of ischemia in blood occlusive events such as stroke, which has been automated using optical angiographic techniques. Here, we introduce a simpler method effective to identify and count the cortical penetrating vessels in automated manner. © 2022 IEEE.-
dc.language영어-
dc.language.isoENG-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleAutomated counting method to assess cerebral penetrating vessels in perfusion using optical coherence tomography-
dc.typeArticle-
dc.identifier.doi10.1109/IPC53466.2022.9975743-
dc.identifier.bibliographicCitation2022 IEEE Photonics Conference, IPC 2022 - Proceedings-
dc.description.isOpenAccessN-
dc.identifier.scopusid2-s2.0-85145613194-
dc.citation.title2022 IEEE Photonics Conference, IPC 2022 - Proceedings-
dc.type.docTypeConference Paper-
dc.subject.keywordAuthorautomatic vessel counting-
dc.subject.keywordAuthorCerebral penetrating vessels-
dc.subject.keywordAuthoroptical coherence tomography images-
dc.description.journalRegisteredClassscopus-
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of ICT Engineering > School of Electrical and Electronics Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Choi, Woo June photo

Choi, Woo June
창의ICT공과대학 (전자전기공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE