Blood vessel puncture angle acquisition and puncture method based on image recognition and feedback control

Abstract

The invention relates to a blood vessel puncture angle acquisition and puncture method based on image recognition and feedback control. The angle method acquisition comprises the following steps: 1) acquiring a plurality of blood vessel images of different horizontal angles in the same area; 2) obtaining a score of each blood vessel image through a convolutional neural network model, wherein the convolutional neural network model is trained by taking the inclination of the blood vessel direction in the blood vessel image and the longitudinal cutting direction of the blood vessel image and thedefinition of the blood vessel as scoring indexes in the training process; 3) obtaining a qualified blood vessel image according to the score; selecting an optimal image; 4) obtaining an image to be verified according to the horizontal angle corresponding to the optimal image, judging whether the image is qualified or not, and if yes, executing the step 5); otherwise, re-executing the method; and5) obtaining a blood vessel puncture horizontal angle according to the optimal image. Compared with the prior art, the automation level of blood vessel puncture is improved, the accidental conditionsthat a patient suddenly moves the arm and the like can be effectively avoided, and the risk of pricking mistakes is reduced.

Description

technical field [0001] The invention relates to the field of blood vessel puncture, in particular to a blood vessel puncture angle acquisition and puncture method based on image recognition and feedback control. Background technique [0002] Venous blood infusion or blood drawing is the most common clinical practice, and there are related machines that can do semi-automatic needle insertion. The semi-automatic needling technique requires the use of an ultrasound probe to obtain blood vessel information through longitudinal images generated by it. [0003] The current ultrasonic imaging technology cannot easily distinguish the thickness and flow direction of blood vessels in each picture, so it is necessary to use multiple sets of pictures to select the best pictures to find the most suitable pictures as sampling points. The traditional method of selecting the best is often manually selected by the operator, which is time-consuming and laborious, and reduces the automation l...

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to overcome the defects of inaccurate manual selection of needle insertion positions and angles in the above-mentioned prior art, and the patient’s arm may rotate and cause deviation after the selection of blood vessel images, and to provide a blood vessel puncture angle acquisition and control method based on image recognition and feedback control. Puncture method

Images