Retina vessel width estimation using bifurcation points to track vessels

dc.contributor.author	Λεοντίδης, Γεώργιος Κ.	el
dc.date.accessioned	2015-02-14T11:48:42Z
dc.date.available	2015-02-14T11:48:42Z
dc.date.issued	2015-02-14
dc.identifier.uri	http://hdl.handle.net/11400/6230
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://e-jst.teiath.gr/	en
dc.subject	Centerlines
dc.subject	Vessel’s width
dc.subject	Retina
dc.subject	Bifurcation points
dc.subject	Skeleton
dc.subject	Άξονες
dc.subject	Πλάτος αγγείου
dc.subject	Σημεία διακλάδωσης
dc.subject	Σκελετός
dc.subject	Αμφιβληστροειδής χιτώνας
dc.title	Retina vessel width estimation using bifurcation points to track vessels	en
heal.type	journalArticle
heal.classification	Medicine
heal.classification	Medical physics
heal.classification	Ιατρική
heal.classification	Ιατρική φυσική
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85083001
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Ιατρική φυσική
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh85113322
heal.language	en
heal.access	free
heal.publicationDate	2014
heal.bibliographicCitation	Leontidis, G.K. (2014). Retina vessel width estimation using bifurcation points to track vessels. "e-Journal of Science & Technology". [Online] 9(1): 7-12. Available from: http://e-jst.teiath.gr/	en
heal.abstract	Retina vessel segmentation is a challenging task that concerns scientists for many years. Vasculature gives us information for possible diseases like diabetic retinopathy, hypertension etc. Different algorithms have been developed using matched filters, pattern recognition techniques and scale-space techniques, which present reliable results. Currently the most challenging task is the estimation of vessels’ width of the whole retina vasculature. At this article, a method for the calculation of vessels’ minimum, maximum and mean width of every single vessel that we obtain from the already segmented binary image is proposed. Having this information we can evaluate the cardiovascular functionality, such as volumetric flow, flow velocity, and tension at the vessels’ walls during blood circulation. The proposed algorithm tracks the bifurcation points of the whole vasculature using the skeleton of the initial image and uses a decision making technique to decide which vessel to cross each time. Finally the algorithm crosses the vessel pixel-by-pixel and calculates the width until the end of the vessel. The whole procedure is automatic and we can see the remaining skeleton in our screen, after estimating a single vessel’s width, since this vessel disappears from the image. Each vessel’s width is calculated with pixel accuracy.	en
heal.publisher	Νερατζής, Ηλίας	el
heal.publisher	Σιανούδης, Ιωάννης	el
heal.journalName	e-Journal of Science & Technology	en
heal.journalName	e-Περιοδικό Επιστήμης & Τεχνολογίας	el
heal.journalType	peer-reviewed
heal.fullTextAvailability	true