Automatic calibration method and system for ultrasonic equipment

Abstract

The invention provides an automatic calibration method and system of ultrasonic equipment. The method comprises the steps that speed values of all scanning points located on all scanning lines and different scanning depths at the current scanning position are obtained respectively according to a time-domain cross-correlation algorithm; all the speed values under all scanning depths at the current scanning position are combined into independent speed sequences; an energy value sequence corresponding to each speed sequence is obtained; an area attribute corresponding to each scanning depth is obtained according to the speed sequence and the corresponding energy value sequence; scanning parameters of the ultrasonic equipment are adjusted according to the area attribute corresponding to the current scanning depth and the speed sequence, and the scanning parameters of the ultrasonic equipment comprise pulse repetition frequencies, number of times and gains of sampling bags. According to the automatic calibration method and system of the ultrasonic equipment, calibration can be automatically conducted on the ultrasonic equipment, operation and workload can be greatly reduced for doctors, and the diagnosis time is shortened.

Description

technical field [0001] The invention belongs to the technical field of medical ultrasonic diagnosis, and in particular relates to an automatic calibration method for ultrasonic equipment. Background technique [0002] Ultrasound imaging has become one of the most widely used clinical diagnostic tools because of its non-invasive, real-time, convenient operation, and low price. Ultrasonic Doppler blood flow imaging is an important imaging mode in ultrasound imaging, and it is widely used in clinical practice. [0003] In the process of Doppler blood flow imaging, since the blood flow velocity in various tissues of the human body is different, it is necessary to adjust various scanning parameters for different scanning parts in order to achieve the best imaging purpose. Yes, the scanning doctor needs to have rich operating experience, and manual intervention is required every time the scanning is switched, and it takes a certain amount of time to adjust various scanning parame...

AI Technical Summary

Problems solved by technology

However, the autocorrelation algorithm is an estimation method based on phase changes, and the sampling interval for observing phase changes is the time interval between two scan lines, and the sampling rate between two scans is the pulse repetition frequency PRF, according to Sampling theorem, when the phase change, that is, the flow velocity exceeds 1 / 2 of the PRF (Nyquist frequency), aliasing will inevitably occur, resulting in an estimation error

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