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Magnetic resonance imaging method and related equipment

A technology of magnetic resonance imaging and magnetic resonance images, which is applied in the field of image processing and can solve problems such as low resolution and large image noise

Pending Publication Date: 2021-09-07
SUBTLE MEDICAL TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Generated images have problems of high noise and low resolution

Method used

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  • Magnetic resonance imaging method and related equipment
  • Magnetic resonance imaging method and related equipment
  • Magnetic resonance imaging method and related equipment

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Embodiment Construction

[0043] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the scope of protection of this application.

[0044] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above drawings are used to distinguish similar objects, and not necessarily Used to describe a specific sequence or sequence. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments descr...

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Abstract

The embodiment of the invention discloses a magnetic resonance imaging method, and the method comprises the steps: obtaining a first magnetic resonance image of a target patient, and the first magnetic resonance image being obtained according to the partial K space data of a to-be-detected region of the target patient; inputting the first magnetic resonance image into a pre-trained image processing neural network model, wherein the pre-trained image processing neural network model is obtained by training a training set of low-quality magnetic resonance imaging and corresponding high-quality magnetic resonance imaging; and obtaining a second magnetic resonance image which is output by the image processing neural network model and corresponds to the first magnetic resonance image. Compared with the first magnetic resonance image, the second magnetic resonance image obtained by using the image processing neural network model for processing is closer to an image obtained by using all K space data, so that more organ tissue information of the patient can be obtained by using the second magnetic resonance image, the resolution of the image obtained by magnetic resonance imaging is improved, and the signal-to-noise ratio is improved.

Description

technical field [0001] The embodiments of the present application relate to the field of image processing, and in particular to a magnetic resonance imaging method and related equipment. Background technique [0002] Magnetic resonance imaging (Magnetic Resonance Imaging, MRI) is an imaging technique that uses the signal generated by the resonance of the atomic nucleus in a strong magnetic field to reconstruct the image, and is a nuclear physics phenomenon. It uses radio frequency pulses to excite atomic nuclei with non-zero spins in a magnetic field. After the radio frequency pulses stop, the atomic nuclei relax. During the relaxation process, the signals are collected by induction coils and reconstructed according to certain mathematical methods. Mathematical image. Magnetic resonance imaging differs from other imaging techniques in that it provides far more information than many other imaging techniques in medical imaging. Therefore, the diagnosis of the disease has a g...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R33/56
CPCG01R33/56
Inventor 龚南杰祁成晓潘博洋
Owner SUBTLE MEDICAL TECH
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