Design And Implementation Of Human Venous Angiography Based On FPGA

With the continuous progress of science and technology and development,not only people's lives have a huge change,and the rapid progress of science and technology in the pathology of medicine support and analysis play a greater role in promoting.As a relatively advanced near-infrared digital imaging technique,human vein angiography can effectively solve the medical problems such as pulse vein injection,varicose veins,postoperative venous repair and observation.This thesis is the use of venous blood vessels and its surrounding near-infrared light absorption and reflect the ability to achieve the human body vein angiography.This fast and noninvasive non-contact vein imager can clearly visualize the thickness of the fat layer,the color of the human body vein vascular information.The human body venous imager consists of FPGA control unit,MT9V034 image acquisition,CY7C68013 image data transmission,mapping to the microprocessor on the image processing algorithm,dual port image processing cache SDRAM five parts.In the 850nm near-infrared light,FPGA access to MT9V034 on the image data,through the CY7C68013 will be processed after the human body vein image transmission to the host computer,control and data bus completely independent of the two SDRAM for processing and buffer vein image data The Human body venous vasoconstrictor PC software to achieve the human body vein image data receiving,venous vascular image enhancement and extraction of venous lines.850nm near infrared light as a human body vein imager light source.According to the needs of different human light intensity,the use of PWM dimming quickly and effectively adjust the brightness of 850nm LED to achieve high-quality vein images.In the vein collection,the light intensity can be adjusted is very important,not only can get the best light intensity and uniform light intensity distribution,but also can obtain higher quality vein images.In these two points at the same time can also reduce the unnecessary electric light.The capture of human venous blood vessels needs to be performed by an image sensor sensitive to near-infrared spectroscopy.In this thesis,the image sensor chip uses MT9V034,which has a good photographic effect.The spectral effect is sensitive to near-infrared light.Spectral characteristics;imaging noise can be very good;high sensitivity;low noise;resolution advantages.The higher the resolution,the richer the details of the image,the clearer the image,the higher the image quality.USB(Universal Serial Bus)Universal serial bus is a universal data transfer specification,with a fast data transfer rate(up to 480Mb/s),hot swap,easy operation and so on.The interface is the use of dual differential signal line for signal transmission,in the transmission process of the signal accuracy and high efficiency.The image data itself has a large amount of data,and it is necessary to continuously acquire high-quality venous images in vein collection.The venous image is a kind of infrared image.In the process of collecting,the image has a poor contrast between the target and the background,the blurring of the edge of the image and the large noise.The vein image is limited by the image and the image quality Not high(including contains a large noise,the image contrast is not high,uneven light,by the color of the fat layer and other effects of intravenous display is not obvious).Convenient and intact to obtain the human body vein image,through the image processing technology to improve the image quality to assist in the acquisition of medical information.In this thesis,based on the principle of human vein imaging and the particularity of each part of the device,a human body image is formed by using near-infrared light to read MT9V034 image sensor to capture near infrared light reflected by human skin Data,and in the FPG A internal image data enhancement,denoising and after processing the image through the USB chip CY7C68013 sent to the vein extraction of the host computer.The digital image processing technology used in the host computer is based on the DCT domain of the vein image denoising,based on YCbCr color space of the vein image skin color detection,based on histogram equalization and Retinex vein image enhancement,based on the largest neighborhood of venous blood vessels Extraction and image processing algorithm for vein image quality evaluation based on gray level co-occurrence matrix.After treatment,obtain clear information on human veins.In this thesis also involves the power circuit,850nm light source and dimming circuit,MT9V034 image acquisition circuit,CY7C68013 transmission circuit,FPGA circuit and other circuit design and software code development work.And finally designed a set of hardware and software with the human body vein angiography.Imager has two ways to deal with human venous blood vessel image,one is real-time receiving venous imager image data,the other is to obtain the preservation of the vein picture.The former method for real-time automatic processing of venous images and extraction of venous blood vessels,the latter is a manual treatment of venous images and extract venous blood vessels.