Compressed sensing nuclear magnetic resonance imaging method based on deep neural network
A deep neural network and magnetic resonance imaging technology, applied in the field of medical magnetic resonance imaging, can solve problems such as image reconstruction of difficult-to-compress sensing imaging models, and achieve the effects of high accuracy, high reconstruction accuracy, and fast computing speed.
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[0042] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific examples. These examples are illustrative only and not restrictive of the invention.
[0043] Such as figure 1 Shown, a kind of compressed sensing MRI method based on deep neural network of the present invention comprises the following steps:
[0044] 1. Alternating Direction Multiplier Method Deep Neural Network Construction:
[0045] The reconstructed image of the compressive sensing MRI problem is generally obtained by solving the following optimization problem:
[0046] min x , z { 1 2 | | ...
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