Method and device for computing apodization curve in real time in medical ultrasonic diagnosis system

Abstract

The invention provides a method and a device for computing an apodization curve in real time in a medical ultrasonic diagnosis system, which are a method and a device for obtaining the apodization curve by a real-time table look-up method. The method and the device greatly save the space of a memory and can realize different apodization for scanning lines of different angles, so that the best apodization effect can be achieved for deflection scanning, T-shaped scanning and phased array imaging, and the ultrasonic imaging quality is improved.

Description

technical field [0001] The present invention provides a method and device for apodization in a medical ultrasonic diagnosis system, in particular to a method and a device for calculating an apodization curve in real time in a medical ultrasonic diagnosis system in a beam forming link of the medical ultrasonic diagnosis system. Background technique [0002] In the medical ultrasonic diagnostic system, the receiving apodization of the beamforming link is a key processing step for eliminating side lobes and improving image contrast resolution. The traditional processing method is to pre-store the apodization curve and read it from the memory during beamforming The corresponding apodization curves are subjected to apodization weighting processing to complete the beamforming. [0003] In the ultrasonic imaging system, the probe is controlled by the circuit to transmit and receive ultrasonic waves, and after analog amplification and sampling, it enters the delay value (calculate t...

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Problems solved by technology

Some traditional methods store several groups of apodization curves at different depths and use them directly for beamforming. Generally, the amount of stored data is large and requires more storage space; in recent years, some methods for real-time calculation of apodization curves have appeared By pre-storing one or half symmetrical apodization curves, as well as different depths of apodization extraction starting point, step size, aperture value, etc., the apodization value of each channel is extracted at different depths according to the aperture value, extraction starting point, and step size. For the change of the scanning starting point and the deflection of the scanning line, it is necessary to use different methods to calculate the offset of the extraction starting point to compensate. This method is a contradiction between the apodization accuracy and the amount of stored data. If the stored apodization depth interval is large, the variable The apodization curve has not changed at a large depth interval, so that the apodization cannot respond to the directivity change in time. If the apodization change depth interval is small, the amount of data to be stored is large. There is a large amount of data, and the implementation is still relatively complicated; some consider the influence of the deflection angle, and use the deflection angle or the value of the trigonometric function of the deflection angle as the address to extract the apodization pre-stored curve. This method is more complicated to implement and costs more. higher

[0006] Existing technologies either consume more resources or are more complicated to implement

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