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Ultrasonic synthetic aperture imaging method and device introducing machine learning

An ultrasonic synthesis and machine learning technology, applied in high spatial resolution ultrasonic imaging, high time field, can solve the problems of sacrificing imaging speed, increasing the number of echo signals, etc., to achieve high practical application and promotion value, improve the transmission signal-to-noise ratio Effects of low and high spatial resolution imaging

Pending Publication Date: 2022-08-05
ZHEJIANG LAB
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Problems solved by technology

These improved methods mostly use sub-aperture (Sub-aperture) overlapping to achieve the functions of suppressing side lobes and improving resolution, but in the actual processing process, they greatly increase the number of echo signals that need to be transmitted and stored. Imaging speed is sacrificed

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  • Ultrasonic synthetic aperture imaging method and device introducing machine learning
  • Ultrasonic synthetic aperture imaging method and device introducing machine learning
  • Ultrasonic synthetic aperture imaging method and device introducing machine learning

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Embodiment Construction

[0039] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are only used to illustrate and explain the present invention, but not to limit the present invention.

[0040]Aiming at the situation that the existing ultrasonic synthetic aperture imaging needs data collection of a large number of echo signals, which affects the imaging speed; the invention discloses an ultrasonic synthetic aperture imaging method by introducing machine learning to fill in the lack of signal space caused by sparse scanning, Then high-precision imaging is achieved; the introduced machine learning method predicts the echo signals at the missing scanning positions on the basis of the sparsely scanned array echo signals, forms a dense linear array echo signal, and then uses the delay superposition The algorithm (Delay-and-Sum, DAS) reconstructs high-resoluti...

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Abstract

The invention discloses an ultrasonic synthetic aperture imaging method and device introducing machine learning, and the method comprises the steps: collecting a synthetic aperture echo signal in a sparse scanning mode through a one-dimensional linear ultrasonic transducer array; then, machine learning is adopted to predict related signals to solve the problem of sparse spatial arrangement of echo signals caused by a sparse scanning mode; and finally, realizing ultrasonic synthetic aperture focusing imaging based on a delay superposition algorithm (DAS). After optimization processing of machine learning, compared with a traditional synthetic aperture focusing technology (SAFT), the efficiency and the imaging quality of synthetic aperture focusing imaging are greatly improved, and meanwhile, the influence of side lobes and the like on an imaging result is reduced. The method has the characteristics of high scanning speed and high image reconstruction precision, and is beneficial to popularization and application of the ultrasonic synthetic aperture imaging technology in nondestructive testing and medical diagnosis.

Description

technical field [0001] The invention relates to the technical field of ultrasonic imaging with high time and high spatial resolution, in particular to an ultrasonic synthetic aperture imaging method and device incorporating machine learning. Background technique [0002] Synthetic Aperture Focusing Technique (SAFT) ultrasound imaging is a promising imaging method developed in the 1970s. Its original idea can be traced back to the Synthetic Aperture Radar (Synthetic Aperture Radar) developed in the 1950s. , SAR) technology. When it was first introduced into ultrasonic imaging, point source sensors were used to scan the surface of the object to be measured, receive scattered sound signals from various points inside the object and store them, and then perform appropriate sound signals received by the sensors at different receiving positions. Time-lapse and overlay to obtain a point-by-point focused acoustic image of the imaged area. Unlike traditional ultrasound imaging metho...

Claims

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Application Information

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IPC IPC(8): G01S15/89G01S7/539G06K9/00G06K9/62G06N20/00
CPCG01S15/8997G01S7/539G06N20/00G06F2218/02G06F18/214
Inventor 祝婧陈睿黾施钧辉王若凡李驰野
Owner ZHEJIANG LAB
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