Software Development And Image Compression Algorithm Research Of Ultrasonic Diagnosis Network System

Ultrasound examination can accurately,painlessly,non radiation examination of pathological tissue,is the current use of high frequency of routine clinical examination means.However,the ultrasonic practitioners in some remote towns and primary hospitals are lack of training,and the medical service level is low.Patients with difficult diseases need to spend a lot of time and money for long-distance medical treatment.In order to improve the unbalanced distribution of medical resources and enable patients in areas with backward medical conditions to enjoy expert diagnosis,the concept of telemedicine has been proposed and developed rapidly.But at present,the process of remote ultrasound consultation is complex and the form is heavy,so it is difficult for experts to provide help anytime and anywhere.In addition,with the development of portable and mobile ultrasonic instruments,ultrasonic examination services extend from hospitals to home,outdoor and even field scenes.However,at present,the browsing terminal of real-time feedback collected ultrasonic images is large and difficult to carry.Therefore,combined with the existing portable B-ultrasound instrument in the laboratory,this paper proposes an ultrasound diagnosis network including multiple diagnosis nodes and a diagnosis center,which comprehensively considers the needs of portability and remote real-time diagnosis,and realizes the point-to-point access consultation function between patients and doctors at any time through mobile devices.Firstly,this paper studies the diagnostic node and ultrasound center software that can run on mobile devices.Android is the mobile device operating system with the largest market share at present.Google provides many application programming interfaces and UI controls to help developers realize business functions quickly.Therefore,this project uses Android studio to realize image display function with Open GL ES API,and uses basic UI control and custom glsurfaceview control to build user interface.On this basis,it uses linear layout container to realize multi-channel ultrasound image dynamic display,which optimizes the performance of Ultrasound Center software.Then,the real-time and stable transmission mode of image data between diagnostic node software and ultrasound center software is studied.This project uses TCP / IP network protocol,which is a transport layer protocol responsible for providing communication services between two mobile devices.It ensures the integrity and security of data through three handshakes and four waves.Due to the performance of mobile devices,the client-side loop server-side model is used to ensure the orderly cooperation of multiple diagnostic nodes and ultrasound center,and stable and accurate display of image data.In addition,the format of data frame between the node and the center is specified to ensure that the center software can correctly analyze the received data.Finally,this paper studies the ultrasonic image compression algorithm to further ensure the real-time transmission of image data between the diagnosis node software and the ultrasonic center software.Firstly,the ultrasonic image data is compressed lossily based on the principle of vector quantization.Then,aiming at the low quality of the restored image after compressing the ultrasonic mode C data,a better compression effect solution is proposed by combining vector quantization and Huffman coding block compression ultrasonic mode C.