Abstract
Medical imaging is an important tool for the diagnosis and the evaluation of an aortic dissection (AD); a serious condition of the aorta, which could lead to a life-threatening aortic rupture. AD patients need life-long medical monitoring of the aortic enlargement and of the disease progression, subsequent to the diagnosis of the aortic dissection. Since there is a lack of “healthy-dissected” image pairs from medical studies, the application of inpainting techniques offers an alternative source for generating them by doing a virtual regression from dissected aortae to healthy aortae; an indirect way to study the origin of the disease. The proposed inpainting tool combines a neural network, which was trained on the task of inpainting aortic dissections, with an easy-to-use user interface. To achieve this goal, the inpainting tool has been integrated within the 3D medical image viewer of StudierFenster (www.studierfenster.at). By designing the tool as a web application, we simplify the usage of the neural network and reduce the initial learning curve
Originalsprache | englisch |
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Titel | 2020 Central European Seminar on Computer Graphics |
Publikationsstatus | Veröffentlicht - 2020 |
Veranstaltung | 24th Central European Seminar on Computer Graphics: CESCG 2020 - Virtuell, Slowakei Dauer: 30 Apr. 2020 → 4 Mai 2020 |
Konferenz
Konferenz | 24th Central European Seminar on Computer Graphics |
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Land/Gebiet | Slowakei |
Ort | Virtuell |
Zeitraum | 30/04/20 → 4/05/20 |
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Untersuchen Sie die Forschungsthemen von „Design and Development of a Web-based Tool for Inpainting of Dissected Aortae in Angiography Images“. Zusammen bilden sie einen einzigartigen Fingerprint.Auszeichnungen
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2nd Best Presentation Award
Prutsch, Alexander (Empfänger/-in), Pepe, Antonio (Empfänger/-in) & Egger, Jan (Empfänger/-in), 2020
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