Design Of Ultrasonic GUI Based On Qt And Research Of Image Processing Algorithm

In the field of ultrasound medical diagnostic, B ultrasound which has the advantages of economical and practical, no damage, little effect on the human body etc, has been widely used in clinical. It is inherent imaging mechanism of ultrasonic imaging that lead to the presence of speckle noise in ultrasound images. The noise reduces the image quality. In addition, it is digital scan conversion technology that has been introduced to ultrasound image processing, it can increase the B ultrasound picture freeze, real-time measurement and B/M mode and other functions, and the design of B ultrasound graphical user interface (GUI) provides a set of the interactive interface is easy to operate for the user.The main work of Ultrasound image denoising is which two kinds of improved denoising algorithm is proposed according to different ultrasound images in this paper. Including, the improved algorithm have been proposed by improving the diffusion model, the diffusion coefficient and adaptive selection of diffusion threshold in view of ultrasonic heart images.And the improved algorithm have been put forward by improving best estimate of the parameter K and control the number of iterations for the ultrasound blood image.Secondly, the paper is based on research of coordinate transformation and image interpolation, which proposed a improved digital scan conversion method. The method carry out coordinate transformation according to using the incremental method, and it is coordinate transformation that the result is stored in coordinate conversion table and weight table. Then, according to demand information that user presented, the paper complete the B Ultrasound GUI interface design by using the design idea of module division and separation of GUI system and business logic.The paper carry out simulation of two improved ultrasound denoising algorithms by matlab. Aim at ultrasound images of the heart, the experimental results show that the model improved algorithm is 2.97% higher than the FOM value of PM model, PSNR is 0.2061 higher than the PM model. Compared with recent MFPM algorithm, the improved algorithm is 1.05% higher than the FOM value of MFPM algorithm, PSNR is 0.1175 higher than the MFPM algorithm. For ultrasound images of blood, iterative control improved algorithm respectively is 0.67% and 1.84% higher than the FOM value of the PM and MFPM algorithm, PSNR respectively is 0.351 and 0.563 higher than the PM and MFPM algorithm. The simulation results of improved digital scan conversion method show that the algorithm is also achieved good effect after image interpolation. Finally, the paper basic completed design of B ultrasound GUI through detailed design of the main module according to the design principle of B ultrasound GUI.