Automatic Layer Generation for Scar Transmurality Visualization View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017

AUTHORS

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

ABSTRACT

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. Lategadolinium- 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. More... »

PAGES

167-172

Book

TITLE

Bildverarbeitung für die Medizin 2017

ISBN

978-3-662-54344-3
978-3-662-54345-0

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-662-54345-0_40

DOI

http://dx.doi.org/10.1007/978-3-662-54345-0_40

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1084689249


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