An automated computerized methodology for the segmentation of in vivo acquired DSA images

dc.contributor.author	Καγάδης, Γεώργιος Κ.	el
dc.contributor.author	Διαμαντόπουλος, Αθανάσιος Κ.	el
dc.contributor.author	Σαμαράς, Νικόλαος	el
dc.contributor.author	Δασκαλάκης, Αντώνιος	el
dc.contributor.author	Σπυρίδωνος, Παναγιώτα Π.	el
dc.date.accessioned	2015-06-06T19:45:36Z
dc.date.available	2015-06-06T19:45:36Z
dc.date.issued	2015-06-06
dc.identifier.uri	http://hdl.handle.net/11400/15367
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://iopscience.iop.org/1748-0221	en
dc.subject	Computer-aided so
dc.subject	Image reconstruction in medical imaging
dc.subject	Medical-image reconstruction methods and algorithms
dc.subject	X-ray radiography and digital radiography (DR)
dc.subject	Υπολογιστική βοήθεια
dc.subject	Εικονική ανακατασκευή στην ιατρική απεικόνιση
dc.subject	Μέθοδοι και αλγόριθμοι ιατρικής αναπλαστικής απεικόνισης
dc.subject	Ακτινογραφία X και ψηφιακή ακτινογραφία
dc.title	An automated computerized methodology for the segmentation of in vivo acquired DSA images	en
heal.type	journalArticle
heal.secondaryTitle	application in the New Zealand hindlimb ischemia model	en
heal.classification	Medicine
heal.classification	Technology
heal.classification	Ιατρική
heal.classification	Τεχνολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh00006614
heal.classificationURI	http://zbw.eu/stw/descriptor/10470-6
heal.classificationURI	N/A-Ιατρική
heal.classificationURI	N/A-Τεχνολογία
heal.contributorName	Κατσάνος, Κωνσταντίνος	el
heal.contributorName	Καρναμπατίδης, Δημήτριος	el
heal.contributorName	Σουργιαδάκη, Ευφροσύνη	el
heal.contributorName	Κάβουρας, Διονύσης Α.	el
heal.contributorName	Σιαμπλής, Δημήτριος Κ.	el
heal.contributorName	Νικηφορίδης, Γεώργιος Κ.	el
heal.identifier.secondary	DOI: 10.1088/1748-0221/4/05/P05014
heal.language	en
heal.access	campus
heal.recordProvider	Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε.	el
heal.publicationDate	2009-05
heal.bibliographicCitation	Kagadis, G., Diamantopoulos, A., Samaras, N., Daskalakis, A., Spyridonos, P., et al. (2009) An automated computerized methodology for the segmentation of in vivo acquired DSA images: application in the New Zealand hindlimb ischemia model. "Journal of Instrumentation", 4 (5). Available from: http://iopscience.iop.org/1748-0221/4/05/P05014/ [Accessed: 06/06/2015].	en
heal.abstract	In-vivo dynamic visualization and accurate quantification of vascular networks is a prerequisite of crucial importance in both therapeutic angiogenesis and tumor anti-angiogenesis studies. A user independent computerized tool was developed, for the automated segmentation and quantitative assessment of in-vivo acquired DSA images. Automatic vessel assessment was performed employing the concept of image structural tensor. Initially, vasculature was estimated according to the largest eigenvalue of the structural tensor. The resulted eigenvalue matrix was treated as gray-matrix from which the vessels were gradually segmented and then categorized in three main sub-groups; large, medium and small-size vessels. The histogram percentiles, corresponding to 85%, 65% and 47% of prime eigenvalue gray-matrix were optimally found to give the thresholds T1, T2 and T3 respectively, for extracting vessels of different size. The proposed methodology was tested on a series of DSA images in both normal rabbits (group A) and in rabbits with experimental induced chronic hindlimb ischemia (group B). As a result an automated computerized tool was developed to process images without any user intervention in either experimental or clinical studies. Specifically, a higher total vascular area and length were calculated in group B compared to group A (p=0.0242 and p=0.0322 respectively), which is in accordance to the fact that significantly more collateral arteries are developed during the physiological response to the stimuli of ischemia.	en
heal.publisher	Allport, Phil	en
heal.journalName	Journal of Instrumentation	en
heal.journalType	peer-reviewed
heal.fullTextAvailability	true