Please use this identifier to cite or link to this item: http://hdl.handle.net/10889/3073
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dc.contributor.advisorSantos, Andres-
dc.contributor.authorMontejo Garcia, Cristina-
dc.date.accessioned2010-05-25T06:15:31Z-
dc.date.available2010-05-25T06:15:31Z-
dc.date.copyright2010-01-20-
dc.date.issued2010-05-25T06:15:31Z-
dc.identifier.urihttp://nemertes.lis.upatras.gr/jspui/handle/10889/3073-
dc.description.abstractThe scope of this project is to present a semi-automated vessels segmentation algorithm, to describe its usage and results. This will be achieved combining several segmentation algorithms to get proper vessel segmentation and visualization. Consequently, automatic segmentation can significantly reduce the scan-to-diagnosis time, thus helping the clinicians to reach the fundamental goal of efficient patient management. In order to complete our project, we can identify different phases: - Correct reading of CT and MR images and extraction of data needed for the post-processing. - Processing of these images using the most appropriate segmentation techniques to get the desired contour. - Visualization of the contour.en
dc.language.isoenen
dc.relation.isformatofΗ ΒΚΠ διαθέτει αντίτυπο της διατριβής σε έντυπη μορφή στο βιβλιοστάσιο διδακτορικών διατριβών που βρίσκεται στο ισόγειο του κτιρίου της.en
dc.rights0en
dc.subjectSegmentationen
dc.subjectVesselsen
dc.subject.ddc616.075 4en
dc.title3D segmentation of great vessels using active contours and morphological image processing techniquesen
dc.typeThesisen
dc.contributor.committeeNikolaos, Pallikarakis-
dc.description.translatedabstract-en
dc.degreeΜεταπτυχιακή Εργασίαen
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