Deformation-free single-excitation plane echo imaging method and device based on deep learning

An echo plane imaging and deep learning technology, applied in medical science, using magnetic variable measurement, using nuclear magnetic resonance imaging system for measurement and other directions, can solve the problems of prolonged acquisition time, difficult application, etc.

Active Publication Date: 2020-03-20
TSINGHUA UNIV
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Problems solved by technology

However, the non-deformable imaging techniques mentioned above are all based on multiple excitation methods, which greatly prolong the acquisition time, and are often

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  • Deformation-free single-excitation plane echo imaging method and device based on deep learning
  • Deformation-free single-excitation plane echo imaging method and device based on deep learning
  • Deformation-free single-excitation plane echo imaging method and device based on deep learning

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[0032] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0033] The following describes the high-resolution, high-signal-to-noise ratio and deformation-free single-shot echo-planar imaging method and device based on deep learning according to the embodiments of the present invention with reference to the accompanying drawings. A single-shot echo-planar imaging method with high resolution and high signal-to-noise ratio without deformation based on deep learning.

[0034] figure 1 It is a flow chart of a single-shot echo-planar imaging method based on deep learning with high resolution ...

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Abstract

The invention discloses a high-resolution high-signal-to-noise-ratio deformation-free single excitation plane echo imaging method and device based on deep learning, and the method comprises the steps:obtaining a first image and a related auxiliary image of a single excitation plane echo, and obtaining a second image which is collected in a mode of multiple excitation and meets a preset condition;performing deep neural network training according to the first image, the related auxiliary image and the second image to obtain a network weight parameter so as to generate a deep neural network; and receiving a third image and a related auxiliary image of the single excitation plane echo, and inputting the third image and the related auxiliary image into the deep neural network to generate an imaging result. According to the method, the high-resolution and high-signal-to-noise-ratio non-deformation magnetic resonance image can be obtained under rapid scanning of single excitation, and the problems that in an existing single excitation EPI technology, the signal-to-noise ratio and deformation artifacts are serious, and the resolution ratio is low are effectively solved, and the problem that the collection time is too long when a multi-excitation technology is used is effectively solved.

Description

technical field [0001] The present invention relates to the technical field of echo-planar imaging, in particular to a single-shot echo-planar imaging method and device based on deep learning with high resolution and high signal-to-noise ratio without deformation. Background technique [0002] EPI (Echo Planar Imaging, echo planar acquisition technology) has the advantages of fast imaging speed and insensitivity to motion due to its fast acquisition characteristics, and has been widely used in clinical practice, especially single-shot EPI. Acquisition of the entire k-space is of great value in applications that require high imaging speed, such as diffusion imaging, functional imaging, perfusion imaging, cardiac imaging, and real-time imaging. However, EPI acquisition also has its own disadvantages, the longer readout time will introduce The blurring effect caused by attenuation and the lower bandwidth in the phase encoding direction will lead to serious image distortion at...

Claims

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Application Information

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IPC IPC(8): G01R33/56A61B5/055
CPCG01R33/56A61B5/055
Inventor 郭华胡张选
Owner TSINGHUA UNIV
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