Automatic layer generation for scar transmurality visualization

S. Reiml, T. Kurzendorfer, D. Toth, P. Mountney, M. Panayiotou, J. M. Behar, C. A. Rinaldi, K. Rhode, A. Maier, A. Brost

Research output: Chapter in Book/Report/Conference proceedingOther chapter contributionpeer-review


In 2014, about 26 million people were suffering from heart failure. Symptomatic heart failure is treated by cardiac resynchronization therapy. However, 30 % to 50 % do not clinically respond after the implantation of a biventricular pacemaker. To improve the success rate, the quantification of a patient’s scar burden is very important. Late-gadolinium-enhanced magnetic resonance imaging is used to visualize regions of scarring in the left ventricle. Scar is very hard to visualize and interpret in 3D. To solve this, an automated scar layer generation method is proposed. The scar is divided into layers and an interactive scrolling is provided. This method allows for precise treatment planning. With the scar layer visualization, eight clinical experts were asked to decide if the scar is epicardial or endocardial. The correct location was identified in 93.75 % of the cases using the scar layer visualization.

Original languageEnglish
Title of host publicationBildverarbeitung fur die Medizin 2017 : Algorithmen – Systeme – Anwendungen - Proceedings des Workshops
PublisherKluwer Academic Publishers (Kluwer Academic Publishers Group)
Number of pages6
ISBN (Print)9783662543443
Publication statusPublished - 2017
EventWorkshops on Image processing for the medicine, 2017 - Heidelberg, Germany
Duration: 12 Mar 201714 Mar 2017


ConferenceWorkshops on Image processing for the medicine, 2017


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