Research Of Blood Flow Velocity Detection Based On The Pulse Wave Ultrasound

Medical ultrasound is developing very rapidly in recent years which is a comprehensive discipline.Ultrasonic diagnosis technology as an important application of ultrasonic medicine has been widely used in clinical medicine.The velocity information of blood flow can reflect many characteristics of human body organs and tissues,and the detection and imaging blood flow information have developed into an important branch of ultrasonic diagnosis.In the field of ultrasonic testing of blood flow movement information,the Doppler technique is a very important part of the mature with the development of ultrasonic medical.the traditional detection methods of movement information of blood flow cannot meet the needs of research.In order to improve the quality of estimates,all kinds of non Doppler methods are researched widely by people.This article mainly employs the ultrasonic simulation toolkit Field II to simulation Doppler echo signal and get the simulation data.Auto correlation algorithm and cross-correlation algorithm were use to assess blood flow velocity and image.Different blood flow velocities of two algorithms respectively are used to assess blood flow imaging to get image and analyze the images.In order to further to improve the algorithm and verify its adaptability in the real system,we use the real system data as input to achieve validation algorithm.At the same time,in order to solve the problems of the algorithm is practical,we core algorithm in FPGA hardware implementation.Results show that the auto correlation method is a kind of narrow-band estimate method.When there is no aliasing,estimate of the blood flow effect is good.Cross-correlation is a kind of narrow-band estimation method.When the blood flow velocity is larger,cross-correlation can be a very good estimate the blood flow velocity.