The training method of the beat artifact correction model and the beat artifact correction method
A technology for correcting models and training methods, applied in the fields of pulsation artifact correction, equipment, computer-readable storage media, training methods for pulsation artifact correction models, and devices, to achieve the effects of rapid acquisition and reduced training costs
Active Publication Date: 2021-11-02
SHANGHAI UNITED IMAGING HEALTHCARE
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[0007] Based on this, it is necessary to provide a training method, device, equipment and computer-based training method for a pulsation artifact correction model to solve the problem that the motion artifact simulation method in the related art cannot obtain training data that can be used to train the pulsation artifact correction model. Reading storage medium, and beating artifact correction method
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[0035] In order to make the purpose, technical solutions and advantages of the present application more clearly understood, the present application will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.
[0036] Obviously, the accompanying drawings in the following description are only some examples or embodiments of the present application. For those of ordinary skill in the art, without any creative effort, the present application can also be applied to the present application according to these drawings. other similar situations. In addition, it will also be appreciated that while such development efforts may be complex and lengthy, for those of ordinary skill in the art to which the present disclosure pertains, the techniques disclosed in this application Some chan...
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The present application relates to a training method, device, equipment and computer-readable storage medium of a pulsation artifact correction model, and a pulsation artifact correction method. Wherein, the training method of the pulsation artifact correction model includes: acquiring the first magnetic resonance image; simulating the arterial pulsation on the first magnetic resonance image, generating a plurality of second magnetic resonance images with time sequence; combining the plurality of second magnetic resonance images Converting to the frequency domain space to obtain multiple first K spaces with time series; filling the acquisition lines corresponding to the time series in the multiple first K spaces into the second K space; reconstructing the third magnetic resonance according to the second K space images; according to the first magnetic resonance image and the third magnetic resonance image, the machine learning model is trained to obtain a pulsation artifact correction model. The present invention solves the problem that the motion artifact simulation method in the related art cannot obtain training data that can be used to train the pulsation artifact correction model.
Description
technical field [0001] The present application relates to the field of magnetic resonance imaging, and in particular, to a training method, apparatus, device, computer-readable storage medium for a beating artifact correction model, and a beating artifact correction method. Background technique [0002] Magnetic Resonance Imaging (MRI for short) is a technique that uses magnetic resonance phenomena for imaging. Magnetic resonance imaging plays an important role in today's medical diagnosis and clinical trials. The basic working principle of magnetic resonance imaging is to use magnetic resonance phenomenon, use radio frequency excitation to excite hydrogen protons in the human body, use gradient magnetic field to encode the position, and then use the receiving coil to receive the electromagnetic signal with position information, and finally use Fourier transform to reconstruct the image. image information. [0003] The reconstruction of magnetic resonance images usually use...
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IPC IPC(8): A61B5/055G01R33/36G01R33/385G06K9/62G06N20/00
CPCG01R33/36G01R33/385G06N20/00G06F18/214
Inventor 袁健闵覃浩东薛乔依
Owner SHANGHAI UNITED IMAGING HEALTHCARE