Pulse repetition frequency adjustment method and high pulse Doppler imaging device

Abstract

The invention discloses a pulse repetition frequency adjustment method and a high pulse Doppler imaging device. The pulse repetition frequency adjustment method includes the steps: A, calculating a sampling gate number N needed for performing HPRF (high pulse repetition frequency) emission by an alternative PRF (pulse repetition frequency) parameter at a depth of a current sampling gate; B, when the sampling gate number N is larger than 1 and smaller than a preset value, calculating a location of a dead zone according to the sampling gate number N; and C, judging whether sampling gates are located in the dead zone or not, if yes, increasing the alternative PRF parameter in a PRF list into a next level and shifting into the step A, and otherwise, using the alternative PRF for performing HPRF emission. Complexity and robustness of algorithms are considered comprehensively, an implementation method is simple, and a spectrogram effect is good.

Description

technical field [0001] The present invention relates to ultrasonic imaging technology, in particular to a pulse repetition frequency (PRF, Pulse Repetition Frequency) adjustment method and a high pulse Doppler (HPRF, High Pulse Repetition Frequency) imaging device using the adjustment method. Background technique [0002] Pulse Wave Doppler (PWD for short) is an important function in ultrasonic diagnostic equipment, and is used to measure the blood flow velocity of the measured object at a designated imaging position. The general operation method is: the operator sets a sampling gate from the two-dimensional ultrasound image or the color ultrasound image, and then starts the pulse wave Doppler to transmit and receive the ultrasound. For the received ultrasonic echo signal, intercept the section at the sampling gate position, perform quadrature demodulation, distance accumulation and spectrum transformation, and finally obtain the time-varying spectrogram, that is, the time-v...

AI Technical Summary

Problems solved by technology

[0009] The current existing HPRF algorithm, or the selection of PRF is not accurate enough, and the position of the sampling gate is not completely avoiding the dead zone, resulting in the pollution of the received signal, resulting in a poor signal-to-noise ratio of the spectrum

Or in the selection of PRF, the algorithm used is more complex, and the complex algorithm does not greatly improve the signal-to-noise ratio of the final spectrum

For the second case, PRF screening is generally performed. In order to ensure that the optimal PRF can be converged, the intervals between the alternative PRF values ​​are often very small, which increases the complexity of the algorithm processing, and there may be two final screened PRF values. Between two adjacent PRFs, the PRF value does not change much, giving the user an illusion that adjusting the PRF gear does not take effect

Images