Carotid artery ultrasonic automatic Doppler method, ultrasonic equipment and storage medium

Abstract

The invention provides a carotid artery ultrasonic automatic Doppler method. The method comprises the following steps: acquiring a carotid artery ultrasonic image; inputting the carotid artery ultrasound image into a convolutional neural network detection model to extract features, and obtaining an output feature map; extracting a preset number of image blocks on the output feature map; recording the position information of each image block on the output feature map; enabling the convolutional neural network detection model to obtain a blood vessel angle in the carotid artery ultrasound image based on the preset number of image blocks; enabling the convolutional neural network detection model to obtain a blood vessel position in the carotid artery ultrasound image based on the preset number of image blocks; calculating the blood vessel width based on the obtained blood vessel position; and automatically generating a sampling gate on the carotid artery ultrasound image based on the obtained blood vessel angle, blood vessel position and blood vessel width. The operation of a doctor can be simplified during carotid artery ultrasonic Doppler examination, and the working efficiency of the doctor is improved.

Description

technical field [0001] The invention belongs to the technical field of ultrasonic equipment, in particular to an automatic Doppler method for carotid artery ultrasound. Background technique [0002] The incidence of cerebrovascular disease is increasing year by year. Using non-invasive examination methods to detect the existence of extracranial arterial vascular lesions early and treat them in time is an effective means to prevent and reduce the incidence of cerebrovascular diseases and has important clinical significance. The above extracranial arteries mainly refer to carotid arteries. The carotid arteries detected by carotid ultrasound include the common carotid artery, internal carotid artery, and external carotid artery, which is one of the effective means for diagnosing and evaluating carotid artery lesions. Carotid artery ultrasonography has the characteristics of simple operation, strong repeatability, economical and practical, and easy acceptance by patients; there...

AI Technical Summary

Problems solved by technology

If the doctor does not perform the above steps, the blood flow sampling will be incorrect, and the peak flow velocity will be artificially increased or decreased, and errors will occur when calculating the systolic peak flow velocity ratio to evaluate the lumen stenosis

The presence of clinically significant carotid stenosis at this point can lead to misdiagnosis

[0005] However, doctors often have a lot of patients to be tested during work, and the workload is heavy; if an automated algorithm can be used to simplify the process of carotid ultrasound examination, it can directly improve the doctor's work efficiency

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