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Improved Morphological Edge Detection Algorithm for Ultrasound Heart Ventricular Wall Image in the Motion of Its Rotation

Ultrasound imaging technology is an effective means of medical diagnosis without wound. The function of viscera is estimated through its locomotor track. To the technology of computer assistant processing and analysis for ultrasound images, the key step is segmenting the edges of tissues accurately. An improved edge detection operator is proposed in this paper for the ultrasound images of cardiac ventricular wall with strong noises and fuzzy edges detected in the motion of their rotation. The algorithm modified the combination of morphological operations, so that the unclear edges of images are avoided. Furthermore, multi-structure elements were also introduced which can reserve integrated edges from different directions of the images. Experiments demonstrate that this edge detector has a better performance on the edge detection of ventricular wall. It can not only keep the edges more accurate than traditional edge detectors, but also satisfy the request of coherent ventricular wall in the analysis of Ultrasound heart images.