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Magnetic resonance imaging method and device based on neural network

A technology of magnetic resonance imaging and neural network, which is applied in magnetic resonance measurement, measurement using MRI system, measurement device, etc., can solve the problems affecting clinical applicability, slow scanning speed, etc., so as to shorten sampling time and reduce sampling point effect

Active Publication Date: 2019-10-15
NEUSOFT MEDICAL SYST CO LTD
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Problems solved by technology

Slow scan speeds severely impact clinical applicability

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  • Magnetic resonance imaging method and device based on neural network
  • Magnetic resonance imaging method and device based on neural network
  • Magnetic resonance imaging method and device based on neural network

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Embodiment Construction

[0022] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present application as recited in the appended claims.

[0023] The terminology used in this application is for the purpose of describing particular embodiments only, and is not intended to limit the application. As used in this application and the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term...

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Abstract

The invention provides a magnetic resonance imaging method and device based on a neural network. According to one instance, the method comprises the steps that according to a detection part of a detected body, the pre-trained neural network is selected, wherein a sampling track corresponding to the neural network is a matrix as large as a k-space and is used for identifying whether to sample points at corresponding positions in the k-space; a magnetic resonance imaging system is utilized to scan the detected body according to the sampling track corresponding to the neural network, and k-spacedata is obtained; and the k-space data is input into the neural network to obtain a magnetic resonance image of the detection part of the detected body. According to the method, the detected body is scanned through the sampling track corresponding to the pre-trained neural network, then image reconstruction is performed through the neural network, and therefore sampling points can be reduced as many as possible to shorten sampling time while image quality is guaranteed.

Description

technical field [0001] The present application relates to the technical field of magnetic resonance imaging, in particular to a neural network-based magnetic resonance imaging method and device. Background technique [0002] Magnetic resonance imaging (Magnetic Resonance Imaging, MRI), as a multi-parameter, multi-contrast imaging technology, is one of the main imaging methods in modern medical imaging. MRI can reflect various properties such as tissue longitudinal relaxation time T1, transverse relaxation time T2 and proton density, thus providing information for the detection and diagnosis of diseases. The basic working principle of the MRI system is to use the radio frequency transmitting coil to excite the hydrogen protons in the subject according to the magnetic resonance phenomenon, and use the gradient magnetic field for spatial encoding, and then use the radio frequency receiving coil to receive the electromagnetic signal with position information, and finally reconst...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R33/48G01R33/561
CPCG01R33/4818G01R33/561
Inventor 黄峰
Owner NEUSOFT MEDICAL SYST CO LTD
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