Magnetic resonance imaging method and device
A technology of magnetic resonance imaging and magnetic resonance image, which is applied in magnetic resonance measurement, measurement using nuclear magnetic resonance imaging system, measurement of magnetic variables, etc. Information and other issues to achieve the effect of improving accuracy and accelerating imaging
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Embodiment 1
[0023] figure 1 The implementation flow of the magnetic resonance imaging method provided by Embodiment 1 of the present invention is shown, and the implementation flow is described in detail as follows:
[0024] Step S101, acquiring a fully sampled offline multi-contrast image of a sample object.
[0025] In the embodiment of the present invention, the sample object may be an object selected by the user as a sample. The acquisition of the fully-sampled offline multi-contrast image of the sample object is to obtain a large number of fully-sampled offline multi-contrast images of a certain area on the sample object, and it is required that the fully-sampled offline multi-contrast image The resolution is the same, for example, a full-scale offline multi-contrast image of a certain organ on Xiao Zhang's head is acquired at the same resolution.
[0026] Taking humans as an example, because the same organ or tissue of different people has similar anatomical characteristics, such ...
Embodiment 2
[0051] figure 2 A schematic diagram of the composition of the magnetic resonance imaging apparatus provided by Embodiment 2 of the present invention is shown. For the convenience of description, only the parts related to the embodiment of the present invention are shown, and the details are as follows:
[0052] The off-line multi-contrast image acquisition module 21 is used to obtain the fully-collected off-line multi-contrast image of the sample object;
[0053] The under-sampling module 22 is used to under-sample each of the full-sampled offline multi-contrast images in the K space, so as to obtain the under-sampled multi-contrast images;
[0054] The training module 23 is used to train a deep learning network according to the under-collected multi-contrast images and the fully-collected offline multi-contrast images;
[0055] An under-acquisition image acquisition module 24, configured to acquire an under-acquisition image of the object to be measured;
[0056] The onlin...
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