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.
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References
Säring D, et al. Computer-assisted analysis of 4D cardiac MR image sequences after myocardial infarction. Methods Inf Med. 2006;45(4):377–83.
Rueckert D, et al. Shape-based segmentation and tracking in 4D cardiac MR images. In: CVRMed; 1997. p. 43–52.
Spreeuwers LJ, et al. Myocardial boundary extraction using coupled active contours. In: Computers in Cardiology, 2003; 2003. p. 745–8.
Goshtasby AA, et al. Fusion of short-axis and long-axis cardiac MR images. Comput Med Imaging Graph. 1996;20(2):77–87.
van Geuns RJM, et al. Automatic quantitative left ventricular analysis of cine MR images by using three-dimensional information for contour detection. Radiology. 2006;240(1):215–21.
Segars WP, et al. A realistic spline-based dynamic heart phantom. IEEE Trans Nuc Sci. 1999;46(3):503–6.
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© 2008 Springer-Verlag Berlin Heidelberg
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Relan, J., Säring, D., Groth, M., Müllerleile, K., Handels, H. (2008). 3D Segmentation of the Left Ventricle Combining Long- and Shortaxis Views. In: Tolxdorff, T., Braun, J., Deserno, T.M., Horsch, A., Handels, H., Meinzer, HP. (eds) Bildverarbeitung für die Medizin 2008. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78640-5_2
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DOI: https://doi.org/10.1007/978-3-540-78640-5_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78639-9
Online ISBN: 978-3-540-78640-5
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