Design and Development of a Web-based Tool for Inpainting of Dissected Aortae in Angiography Images

Alexander Prutsch*, Antonio Pepe, Jan Egger

*Korrespondierende/r Autor/in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem Konferenzband

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
Originalspracheenglisch
Titel2020 Central European Seminar on Computer Graphics
PublikationsstatusVeröffentlicht - 2020
Veranstaltung2020 Central European Seminar on Computer Graphics - Virtuell, Slowakei
Dauer: 30 Apr 20204 Mai 2020

Konferenz

Konferenz2020 Central European Seminar on Computer Graphics
KurztitelCESCG 2020
LandSlowakei
OrtVirtuell
Zeitraum30/04/204/05/20

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