Development Of Detection And Treatment Capsule System Based On Dpcm Image Compression Algorithm

With the change of the diet structure of human life,the digestive tract is becoming an important cause of human health.Many patients are suffering intestinal disease,and the traditional way of intestinal therapy brings a lot of pain to patients.The traditional treatment is to use the interpolating for inner detection,it can easily damage the intestinal tract.To overcome the defects of traditional treatment method,this paper researched other wireless capsule endoscope system.Doctors can control the capsule system in vitro,realizing the minimally invasive or non-invasive diagnosis and treatment of gastrointestinal diseases.Detection and treatment of a wireless capsule endoscope system was invented in this paper with the support of national natural science foundation of china(NO.31271069)and Biomedical & Engineering Cross Fund of Shanghai JiaoTong University(No.YG2013MS24).On the basis of the original wireless endoscope system,a differential compression algorithm is proposed,and it has been successfully applied to the prototype of capsule endoscope system.The compression algorithm has the following advantages: less hardware resource consumption,fast compression speed,low power consumption and lossless compression and the nearly lossless compression algorithm ensure the accuracy of disease diagnosis.The algorithm was tested in a FPGA development board,and the final result achieves 80% compression rate at 40 dB PSNR.This capsule system has the advantages of small size and low power consumption.The main research of this paper is organized as below:1.This paper introduces the working principle of image capsule and some key technologies of the system are analyzed theoretically,putting forward a reasonable solution.After patients swallow the capsule,the capsule travels through gastrointestinal tract.It captures the images of the gastrointestinal wall and sends them out by wireless RF transmitter.A data logger is designed to receive the images through wireless communication.The images can be used to diagnose gastrointestinal tract disease by doctor.1.1 2.This paper proposed a new image compression algorithm.The principle of algorithm and implementation process of this algorithm based on FPGA are introduced in detail.The compression algorithm includes color space transform,uniform quantization,sub-sampling,differential pulse code modulation(DPCM)and golomb-rice code.3.The image compression algorithm are simulated using ModelSim software and Virtex-5 board.And the result shows the compression algorithm can work effectively.And this part introduced the hardware and software of CMOS image sensor in detail.4.This paper introduced two aspects of the hardware and software of the outside portable receiver in detail.According to the module division,hardware design mainly includes NRF wireless transmission module and USB transmission module.The software design mainly includes the portable receiver and the host computer software display system.And this part introduces the implementation and control process of these internal software module.5.In this section,the treatment function of wireless capsule is introduced in detail from the aspects of hardware and software,and some experiments are conducted.6.Some experiments are carried out,including the image compression algorithm experiment and the image sensor acquisition experiment.Compared to already existing work,this algorithm occupies the least chip area and has the least power consumption.The results of this paper realized the organization of the diagnosis andtreatment of gastrointestinal diseases,providing a tool for the minimally invasive or non-invasive diagnosis and treatment of gastrointestinal diseases and also providing a research platform for accurate diagnosis and treatment of gastrointestinal diseases.