11 May 1994 Left-ventricular boundary detection from short-axis echocardiograms: the use of active contour models
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Abstract
Accurate identification of boundaries of the left ventricle lets the cardiologist determine important physiological parameters like the left-ventricular ejection fraction, volume of the left ventricle, and regional heart wall thickening; all of which aid in better diagnosis of heart diseases. We have developed a new semi-automated method to determine the left-ventricular boundaries from short-axis echocardiograms. Our method is based on the active contour models, also know as snakes, originally proposed by Kass et al. Our method was tested on images obtained from 18 patients; manual outlining was used as reference for comparison. Our results were also compared to Detmer et at., who used the same images to test their algorithm. The errors in detecting boundaries by using our algorithm were found to be within the reproducibilty of manual outlining. We also implemented a 3D extension of the active contour algorithm, where the third dimension is time, and are currently working on a clinical validation of this algorithm. The 3D algorithm partly alleviates the problems encountered in the 2D algorithm due to missing boundaries in echocardiograms.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vikram Chalana, David R. Haynor, Yongmin Kim, "Left-ventricular boundary detection from short-axis echocardiograms: the use of active contour models", Proc. SPIE 2167, Medical Imaging 1994: Image Processing, (11 May 1994); doi: 10.1117/12.175117; https://doi.org/10.1117/12.175117
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