Color Doppler Flow Imaging Study Of Key Technologies

Color flow imaging is a very important technical in diagnosis of cardiovascular diseases, due to its affordability, invasion and no injury. As the state has increased investment in basic health, in order to develop a low-cost, better imaging Doppler flow imaging equipment, domestic major ultrasound equipment manufacturers have begun to increase Doppler flow imaging technology research.The main work of this paper is to study the clutter suppression and the image filtering of body tissue structure, based on the completed preprocessing of Doppler echo signal. Firstly, according to the time-domain characteristics and the energy intensity of the echo signal, dynamically partitioning method for distinguishing the range of signal is proposed in this paper; Secondly, according to the divided range, The method dynamically selecting the polynomial regression method and SVD method to reject the clutter signal in the paper. For filting the image of body tissue structure, a de-noising method was proposed which is combining Canny operator with spread along the edge of the image tangential direction.In order to prove the clutter suppression method, that is based on dynamic region polynomial regression and SVD, in the paper we designed a simulation by comparing the proposed method with other clutter suppressing methods which are regarded as the better methods at present. The simulation results show that this method achieve better inhibitory effect to the interference of tissue motion(the velocity tends to zero in the tissue area and the clutter-to-blood ratio is about 5.427 d B after the clutter suppressing is implemented), and the estimated max blood flow velocity(0.968m/s) is close to the theoretical value, the distribution of blood flow is uniform. The integrity of the blood flow velocity profile will maintained and the achieve blood flow velocity map illustrates th e authentic flow velocity and high image quality. The results of combining Canny operator with spreading along the edge of the image tangential direction show that can effectively solve the contradiction between filtering and detail preservation issue, significantly improve the image quality.