GPU parallel computing accelerated ultrasonic multi-plane wave composite image synthesis method and system

Abstract

The invention discloses an image synthesis method for accelerating ultrasonic multi-plane wave imaging by using GPU parallel computing. The method comprises the following steps of: S1, setting different emission delays of transducer units of an ultrasonic probe, and sequentially emitting ultrasonic plane wave scanning imaging spaces with different emission angles; S2, reflecting the emitted ultrasonic signal back to the ultrasonic probe, receiving an ultrasonic echo signal by each transducer unit, and converting the ultrasonic echo signal into a radio frequency RF signal after a series of processing such as filtering, sampling and gain in an analog front end; S3, generating a composite image by using the radio frequency signal through the following post-processing steps of: vectorizing the radio frequency signals acquired by all channels by using a CPU; performing Hilbert transform of GPU parallel computing acceleration on the radio frequency signals by using the GPU, and synthesizing the composite image by using a GPU parallel computing accelerated DAS algorithm; and S4, displaying the synthesized composite image on a display device. The ultrasonic ultra-fast imaging post-processing algorithm has good parallel computing applicability, and image reconstruction can be carried out by using high-performance computing platforms such as a GPU, so that the computing efficiency of image reconstruction is improved.

Description

technical field [0001] The invention relates to the technical field of ultrasonic imaging, and relates to an ultrasonic multi-plane wave composite image synthesis method accelerated by GPU parallel computing. Background technique [0002] In medical ultrasound imaging, ultra-fast ultrasound imaging (frame rate >1000fps) can be achieved clinically by sequentially transmitting and receiving multiple non-focused spatial plane waves of different angles to scan the lesion and tissue structure to be imaged. Technology is currently often applied to cardiovascular imaging such as heart structure, valve structure and blood flow imaging. [0003] Ultrasound imaging commonly used in clinical practice is to use ultrasonic probes such as linear arrays and circular arrays for two-dimensional imaging (ie, surface imaging), or to use ultrasonic probes such as two-dimensional area arrays and 1.5D probes for three-dimensional imaging (ie, volumetric imaging). There are generally two ways ...

AI Technical Summary

Problems solved by technology

With the development of ultrasound imaging technology and the further increase of the number of transducer units, the commonly used FPGA or CPU has been difficult to meet the computing needs of real-time image reconstruction

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