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Reconstruction and graphical modeling of aorta from MRI images

Koulountzios Panagiotis

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URIhttp://purl.tuc.gr/dl/dias/1C27707F-7DEE-4F72-94EB-1282DB1F3185-
Identifierhttps://doi.org/10.26233/heallink.tuc.69551-
Languageen-
Extent86 pagesen
TitleReconstruction and graphical modeling of aorta from MRI imagesen
TitleΑνακατασκευή και γραφική μοντελοποίηση αορτής από εικόνες MRIel
CreatorKoulountzios Panagiotisen
CreatorΚουλουντζιος Παναγιωτηςel
Contributor [Thesis Supervisor]Zervakis Michalisen
Contributor [Thesis Supervisor]Ζερβακης Μιχαληςel
Contributor [Co-Supervisor]Stavroulakis Georgiosen
Contributor [Co-Supervisor]Σταυρουλακης Γεωργιοςel
Contributor [Committee Member]Samoladas Vasilisen
Contributor [Committee Member]Σαμολαδας Βασιληςel
PublisherΠολυτεχνείο Κρήτηςel
PublisherTechnical University of Creteen
Academic UnitTechnical University of Crete::School of Electrical and Computer Engineeringen
Academic UnitΠολυτεχνείο Κρήτης::Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστώνel
Content SummaryThis thesis was motivated by the need for both quick and accurate computer-aided measurement of human organs, which is vital for an early medical diagnosis. It deals with the thoracic aorta, whose abnormalities are often related to cardiovascular diseases. Also, it presents an innovative approach for semi-automated reconstruction and NURBS-based simulation, which has been applied on real patient data sets. We developed a basic pipeline, which starts with processing MRI DICOM files from the thoracic region. In the first stage, image processing techniques have been used to enhance the quality of the images and then the tracking of the aortic cross-sections’ boundaries ends up to the corresponding point cloud. Based on this cloud, a reverse engineering method generates Non-Uniform Rational B-SPLine (NURBS) surfaces. This is accomplished by fitting cubic B-SPLines to the cross-sections, which generate the 2D NURBS model, means the outer surface of the aorta. Our methodology was tested and evaluated on real MRI data from three different patients and the results indicate good potential for semi or even automated development of a personalized aortic model.en
Type of ItemΔιπλωματική Εργασίαel
Type of ItemDiploma Worken
Licensehttp://creativecommons.org/licenses/by-nc/4.0/en
Date of Item2017-10-06-
Date of Publication2017-
SubjectMedical visualizationen
Subject3D reconstructionen
SubjectMedical image processingen
SubjectNURBSen
Bibliographic CitationPanagiotis Koulountzios, "Reconstruction and graphical modeling of aorta from MRI images", Diploma Work, School of Electrical and Computer Engineering, Technical University of Crete, Chania, Greece, 2017en
Bibliographic CitationΠαναγιώτης Κουλούντζιος, "Ανακατασκευή και γραφική μοντελοποίηση αορτής από εικόνες MRI", Διπλωματική Εργασία, Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών, Πολυτεχνείο Κρήτης, Χανιά, Ελλάς, 2017el

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