@article {325,
	title = {3D Segmentation of the Left Ventricle Combining Long- and Short-Axis MR Images},
	journal = {Methods of information in medicine},
	volume = {48},
	year = {2009},
	month = {2009},
	pages = {340-3},
	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.},
	keywords = {Heart 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},
	issn = {0026-1270},
	doi = {10.3414/ME9233},
	author = {S{\"a}ring, Dennis and Relan, J and Groth, M and M{\"u}llerleile, K and Heinz Handels}
}
