Magnetic resonance fast imaging method and device based on convolutional neural network

A technology of convolutional neural network and imaging method, which is applied in the field of magnetic resonance fast imaging method and device, and can solve the problems of long scanning time of magnetic resonance imaging, etc.

Pending Publication Date: 2022-02-08
TSINGHUA UNIV
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Problems solved by technology

[0003] Many advanced techniques such as cardiovascular imaging, functional magnetic resonance imaging, and magnetic resonance spectroscopy have not been widely used due to the long scanning time of magnetic resonance imaging.

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

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Embodiment Construction

[0020] 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.

[0021] The following describes the fast magnetic resonance imaging method and device based on the convolutional neural network according to the embodiments of the present invention with reference to the accompanying drawings. First, the fast magnetic resonance imaging method based on the convolutional neural network according to the embodiments of the present invention will be described with reference to the accompanying drawings .

[0022] figure 1 It is a flowchart of a fast magnetic resonance imaging method based on a convolu...

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Abstract

The invention discloses a magnetic resonance fast imaging method and device based on a convolutional neural network, and the method comprises the steps: collecting a magnetic resonance image, and carrying out the Fourier transformation of the magnetic resonance image, and obtaining k-space data; wherein the zero initialization length is the floating point type vector of the line number of the k space data to construct an image reconstruction network, sampling the k space data, performing inverse Fourier transform on the sampled k space data to obtain an image, and inputting the image into the image reconstruction network to obtain an output; calculating the L1 distance between the output of the image reconstruction network and the target image as a loss function; and obtaining a binary sampling vector according to the floating point type vector obtained by training, compiling a sampling sequence for the magnetic resonance instrument, and inputting the acquired magnetic resonance image into an image reconstruction network to obtain an output high-quality magnetic resonance image. In actual use, magnetic resonance images are collected according to a magnetic resonance sampling sequence, the images are input into a magnetic resonance image reconstruction network, and clear magnetic resonance images are obtained.

Description

technical field [0001] The invention relates to the technical fields of medical imaging and deep learning, in particular to a convolutional neural network-based fast magnetic resonance imaging method and device. Background technique [0002] In the field of fast magnetic resonance imaging, partial k-space data reconstruction can effectively speed up the imaging speed. The core idea is not to perform full sampling in the process of sampling k-space, but to selectively ignore the data of a part of the position, thereby reducing number of samples to reduce imaging time. Cartesian sampling is a commonly used undersampling mode, which samples an entire row or column of two-dimensional k-space data at a time. The sampled k-space data is inversely transformed by Fourier to obtain a magnetic resonance image. [0003] Due to the long scanning time of MRI, many advanced technologies such as cardiovascular imaging, functional magnetic resonance imaging, and magnetic resonance spectro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/055A61B5/00G06F17/14G06N3/04G06N3/08
CPCA61B5/055A61B5/7257A61B5/7264A61B5/7267G06N3/08G06F17/14G06N3/045
Inventor 徐枫周展平
Owner TSINGHUA UNIV
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