3D Segmentation of the Left Ventricle combining Long- and Shortaxis Views

Jatin Relan, Dennis Säring, Michael Groth, Kai Müllerleile, Heinz Handels

Abstract

Segmentation of the left ventricle (LV) is required to quantify LV remodeling after myocardial infarction. Therefore spatiotemporal Cine MR sequences including longaxis and shortaxis images are acquired. In this paper a new segmentation method for fast and robust segmentation of the left ventricle is presented. The new approach considers the position of the mitral valve and the apex as well as the longaxis contours to generate a 3D LV surface model. The segmentation result can be checked and adjusted in the shortaxis images. Finally quantitative parameters were extracted. For evaluation the LV was segmented in eight datasets of the same subject by two medical experts using a contour drawing tool and the new segmentation tool. The results of both methods were compared concerning interaction time and intra- and interobserver variance. The presented segmentation method proved to be fast. The intra- and interobserver variance is decreased for all extracted parameters.

OriginalspracheEnglisch
TitelBildverarbeitung für die Medizin 2008
Seitenumfang5
ErscheinungsortBerlin, Heidelberg
Herausgeber (Verlag)Springer Verlag
Erscheinungsdatum01.12.2008
Seiten6-10
ISBN (Print)978-3-540-78639-9
ISBN (elektronisch)978-3-540-78640-5
DOIs
PublikationsstatusVeröffentlicht - 01.12.2008
VeranstaltungWorkshop on Bildverarbeitung fur die Medizin 2008 - Berlin, Deutschland
Dauer: 06.04.200808.04.2008

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