dc.contributor.author | Καγκάδης, Γεώργιος Χ. | el |
dc.contributor.author | Σπυρίδωνος, Παναγιώτα Π. | el |
dc.contributor.author | Καρναμπατίδης, Δημήτριος | el |
dc.contributor.author | Διαμαντόπουλος, Αθανάσιος Κ. | el |
dc.contributor.author | Αθανασιάδης, Εμμανουήλ Ι. | el |
dc.date.accessioned | 2015-06-07T15:07:55Z | |
dc.date.available | 2015-06-07T15:07:55Z | |
dc.date.issued | 2015-06-07 | |
dc.identifier.uri | http://hdl.handle.net/11400/15477 | |
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://link.springer.com/article/10.1007%2Fs10278-007-9047-2 | el |
dc.subject | angiogenesis | |
dc.subject | Digital subtraction angiography | |
dc.subject | Image processing | |
dc.subject | Αγγειογένεση | |
dc.subject | Ψηφιακή αγγειογραφία | |
dc.subject | DSA | |
dc.subject | Experimental | |
dc.subject | Πειραματικός | |
dc.subject | Επεξεργασία εικόνας | |
dc.subject | Quantification | |
dc.subject | Ποσοτικοποίηση | |
dc.title | Computerized analysis of digital subtraction angiography | en |
heal.type | journalArticle | |
heal.secondaryTitle | a tool for quantitative in-vivo vascular imaging | en |
heal.classification | Medicine | |
heal.classification | Medical technology | |
heal.classification | Ιατρική | |
heal.classification | Ιατρική τεχνολογία | |
heal.classificationURI | http://id.loc.gov/authorities/subjects/sh00006614 | |
heal.classificationURI | http://skos.um.es/unescothes/C02465 | |
heal.classificationURI | **N/A**-Ιατρική | |
heal.classificationURI | **N/A**-Ιατρική τεχνολογία | |
heal.keywordURI | http://lod.nal.usda.gov/135997 | |
heal.keywordURI | http://id.loc.gov/authorities/subjects/sh88004988 | |
heal.keywordURI | http://id.loc.gov/authorities/subjects/sh85064446 | |
heal.contributorName | Δασκαλάκης, Αντώνης | el |
heal.contributorName | Κατσάνος, Κωνσταντίνος Η. | el |
heal.contributorName | Κάβουρας, Διονύσης Α. | el |
heal.contributorName | Μιχαηλίδης, Δημήτριος Ν. | el |
heal.contributorName | Σιαμπλής, Δημήτριος, Κ. | el |
heal.contributorName | Νικηφορίδης, Γεώργιος Χ. | el |
heal.identifier.secondary | DOI: 10.1007/s10278-007-9047-2 | |
heal.language | en | |
heal.access | campus | |
heal.recordProvider | Τ.Ε.Ι. Αθήνας. Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Βιοϊατρικής Τεχνολογίας Τ.Ε. | el |
heal.publicationDate | 2008-12 | |
heal.bibliographicCitation | Kagadis, G., Spyridonos, P., Karnabatidis, D. Diamantopoulos, A., Athanasiadis, E., et.al. (2008). Computerized analysis of digital subtraction angiography: a tool for quantitative in-vivo vascular imaging. "Journal of Digital Imaging", 21(4), December 2008. pp 433-445. Available from: http://link.springer.com/article/10.1007%2Fs10278-007-9047-2. [Accessed 03/08/2007] | en |
heal.abstract | The purpose of our study was to develop a user-independent computerized tool for the automated segmentation and quantitative assessment of in vivo-acquired digital subtraction angiography (DSA) images. Vessel enhancement was accomplished based on the concept of image structural tensor. The developed software was tested on a series of DSA images acquired from one animal and two human angiogenesis models. Its performance was evaluated against manually segmented images. A receiver’s operating characteristic curve was obtained for every image with regard to the different percentages of the image histogram. The area under the mean curve was 0.89 for the experimental angiogenesis model and 0.76 and 0.86 for the two clinical angiogenesis models. The coordinates of the operating point were 8.3% false positive rate and 92.8% true positive rate for the experimental model. Correspondingly for clinical angiogenesis models, the coordinates were 8.6% false positive rate and 89.2% true positive rate and 9.8% false positive rate and 93.8% true positive rate, respectively. A new user-friendly tool for the analysis of vascular networks in DSA images was developed that can be easily used in either experimental or clinical studies. Its main characteristics are robustness and fast and automatic execution. | en |
heal.publisher | Springer-Verlag | en |
heal.journalName | Journal of Digital Imaging | en |
heal.journalType | peer-reviewed | |
heal.fullTextAvailability | true |
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