This paper describes a ROI (Region Of Interest) usit segmentation and a smoothed border detection in an ultrasonic echo cardiotomogram. The segmentation by texture analysis roughly partitions the image into three parts (blood, cardiac muscle and epicardium). Then, the gravity center of boundary ROI and spline functions yield smoothed borders in detail. A result of an example shows usefullness of this method.