A dynamic magnetic resonance image reconstruction method and device of adaptive parameter learning

A technology of magnetic resonance images and adaptive parameters, which is applied in the field of image processing and can solve the problems of insufficiency of magnetic resonance imaging, long scanning time, and long reconstruction time.

Active Publication Date: 2019-04-23
SHENZHEN INST OF ADVANCED TECH
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Problems solved by technology

However, traditional MRI signal scanning and image reconstruction take a long time
For example: projects with high real-time requirements such as cardiac, perfus

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  • A dynamic magnetic resonance image reconstruction method and device of adaptive parameter learning
  • A dynamic magnetic resonance image reconstruction method and device of adaptive parameter learning
  • A dynamic magnetic resonance image reconstruction method and device of adaptive parameter learning

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[0081] In order to enable those skilled in the art to better understand the technical solutions in the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described The embodiments are only some of the embodiments of the present application, but not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

[0082] At present, there are mainly ways to speed up the MRI speed: Parallel MR Imaging and k-space undersampling. This example is mainly aimed at the research of improving the speed of magnetic resonance imaging by undersampling of k-space. Considering that Compressed Sensing-Magnetic Resonance Imaging (CS-MRI for short) consists of a d...

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Abstract

The invention provides a dynamic magnetic resonance image reconstruction method and device of adaptive parameter learning, and the method comprises the steps of carrying out the reconstruction of theregularization terms in a CS-MRI model, and includes using DCT in the spatial domain and using TV in the temporal domain to remove redundancy from dynamic magnetic resonance images, and using a convolutional neural network to carry out the adaptive learning on a large number of parameters in CS-MRI, and establishing a magnetic resonance image reconstruction model; reconstructing the sample image through the established magnetic resonance reconstruction model to obtain a reconstructed image; calculating a difference value between the full-sampling image and the reconstructed image; and according to the difference value, updating parameters in the model, including DCT, a TV filtering operator, a regularization parameter and the like, by using a back propagation algorithm in the network. According to the magnetic resonance image reconstruction model established by the method, the height under-sampling image can be efficiently reconstructed to obtain the image with very high reconstructionprecision and reconstruction speed, so that the time of magnetic resonance scanning can be effectively shortened under the condition that the spatial resolution is not lost.

Description

technical field [0001] The present application belongs to the technical field of image processing, and in particular relates to a dynamic magnetic resonance image reconstruction method and device for adaptive parameter learning. Background technique [0002] Magnetic Resonance Imaging (MRI for short) can accurately obtain information about physiological functions, anatomical structures, lesions and functions of human organs and tissues. However, it takes a long time to scan traditional MRI signals and reconstruct images. For example: cardiac, perfusion and functional imaging, which have high real-time requirements, are often not met by magnetic resonance imaging. Further, due to the long scan time, it may be uncomfortable for the patient and introduce motion artifacts. [0003] However, for how to shorten the time of magnetic resonance scanning and improve the accuracy of reconstructed images, the above-mentioned effective solutions are currently proposed. Contents of th...

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Application Information

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IPC IPC(8): G06T11/00G06N3/08
CPCG06N3/084G06T11/003G06T2207/10088G06T2207/20004
Inventor 王珊珊陈艳霞郑海荣梁栋刘新肖韬辉柯子文
Owner SHENZHEN INST OF ADVANCED TECH
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