3D Segmentation of the Left Ventricle Combining Long- and Short-Axis MR Images

Title3D Segmentation of the Left Ventricle Combining Long- and Short-Axis MR Images
Publication TypeJournal Article
Year of Publication2009
AuthorsSäring D., Relan J., Groth M., Müllerleile K., Handels H.
JournalMethods of information in medicine
Volume48
Issue4
Pages340-3
Date Published2009
Publication Languageeng
ISSN0026-1270
KeywordsHeart Ventricles, Humans, Image Interpretation, Computer-Assisted, Image Processing, Computer-Assisted, Imaging, Three-Dimensional, Magnetic Resonance Imaging, Cine, Mitral Valve, Myocardial Infarction, Observer Variation, Ventricular Remodeling
Abstract

OBJECTIVES: Segmentation of the left ventricle (LV) is required to quantify LV remodeling after myocardial infarction. Therefore spatiotemporal cine MR sequences including long-axis and short-axis images are acquired. In this paper a new segmentation method for fast and robust segmentation of the left ventricle is presented.

METHODS: The new approach considers the position of the mitral valve and the apex as well as the long-axis contours to generate a 3D LV surface model. The segmentation result can be checked and adjusted in the short-axis images. Finally quantitative parameters were extracted.

RESULTS: 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 inter-observer variance. The presented segmentation method proved to be fast. The mean difference and standard deviation of all parameters are decreased. In case of intra-observer comparison e.g. the mean ESV difference is reduced from 8.8% to 0.5%.

CONCLUSION: A semi-automatic LV segmentation method has been developed that combines long- and short-axis views. Using the presented approach the intra- and interobserver difference as well as the time for the segmentation process are decreased. So the semi-automatic segmentation using long- and short-axis information proved to be fast and robust for the quantification of LV mass and volume properties.

DOI10.3414/ME9233
PubMed Link

http://www.ncbi.nlm.nih.gov/pubmed/19499145?dopt=Abstract

Alternate JournalMethods Inf Med
Created at September 3, 2012 - 2:39pm by Kulbe. Last modified at April 8, 2014 - 2:21pm by Kulbe.

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