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A semi-automatic algorithm for reconstruction and NURBS surface generation of thoracic aorta

Koulountzios Panagiotis, Zervakis Michail, Karakitsios Panagiotis L., Stavroulakis Georgios

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URIhttp://purl.tuc.gr/dl/dias/C1C59E13-7075-4CD0-B43F-9CED8738E529-
Identifierhttps://doi.org/10.1109/IST.2017.8261529-
Identifierhttps://ieeexplore.ieee.org/document/8261529-
Languageen-
Extent7 pagesen
TitleA semi-automatic algorithm for reconstruction and NURBS surface generation of thoracic aortaen
CreatorKoulountzios Panagiotisen
CreatorΚουλουντζιος Παναγιωτηςel
CreatorZervakis Michailen
CreatorΖερβακης Μιχαηλel
CreatorKarakitsios Panagiotis L.en
CreatorStavroulakis Georgiosen
CreatorΣταυρουλακης Γεωργιοςel
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryOur initial work was motivated by the need for both quick and accurate computer-aided measurement of human organs, which is vital for an early medical diagnosis. This paper deals with the thoracic aorta, whose abnormalities are often related to cardiovascular diseases. 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.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2019-10-03-
Date of Publication2018-
Subject3D Reconstructionen
SubjectAutomatic segmentationen
SubjectCADen
SubjectControl pointen
SubjectDICOMen
SubjectGeometryen
SubjectImageen
SubjectLoftingen
SubjectMRIen
SubjectNURBS fittingen
SubjectPathen
SubjectPoint clouden
SubjectSeeded region growingen
SubjectThoracic aortaen
Bibliographic CitationP.I. Koulountzios, M.E. Zervakis, P.L. Karakitsios and G.E. Stavroulakis, "A semi-automatic algorithm for reconstruction and NURBS surface generation of thoracic aorta," in 2017 IEEE International Conference on Imaging Systems and Techniques, pp. 1-6, 2018. doi: 10.1109/IST.2017.8261529en

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