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Magnetic resonance under-sampling method and device

A magnetic resonance and magnetic resonance imaging technology, applied in the direction of measuring devices, measuring magnetic variables, instruments, etc., can solve the problems of prolonged imaging time, unsatisfactory effect, poor quality of reconstructed images, etc., to achieve shortened time, faster and more accurate magnetic resonance Imaging, the effect of improving accuracy

Active Publication Date: 2019-09-17
SHENZHEN INST OF ADVANCED TECH
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Problems solved by technology

However, the GRAPPA algorithm has the problems of poor reconstructed image quality and long data scanning time, especially when the acceleration factor increases, the effect gradually becomes unsatisfactory; SPIRIT algorithm is another imaging technology based on the GRAPPA algorithm. , the effect has been improved compared to the GRAPPA algorithm, but there are still problems similar to the GRAPPA algorithm
The SENSE algorithm based on the image domain mainly uses the coil sensitivity information to expand and combine the aliased images to obtain an image without mixing artifacts. Extended imaging time

Method used

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  • Magnetic resonance under-sampling method and device

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Embodiment 1

[0023] figure 1 The implementation flow of the magnetic resonance under-acquisition method provided by Embodiment 1 of the present invention is shown, and the implementation flow is described in detail as follows:

[0024] Step S101 , setting an undersampling mask for the field of view of K-space along a preset dimension.

[0025] In the embodiment of the present invention, the field of view (field of view, FOV) in magnetic resonance imaging is the range of the image control plane, that is, the boundary of the image. The K-space maps raw magnetic resonance sampling time domain data into the frequency domain. The K space refers to the Fourier frequency domain space formed by the sampled magnetic resonance data after phase encoding and frequency encoding. The undersampling mask can be used to control the undersampled area when undersampling the view of k-space. The preset dimension may refer to a preset dimension.

[0026] Optionally, the setting of undersampling the field o...

Embodiment 2

[0042] image 3 A schematic diagram of the composition of the magnetic resonance under-mining device 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:

[0043] The magnetic resonance under-mining device includes:

[0044] A setting module 31, configured to set an underacquisition mask for the field of view of K-space along a preset dimension;

[0045] A filtering module 32, configured to perform Hamming filtering on the undersampling mask to obtain corresponding undersampling trajectories;

[0046] Acquisition module 33, for collecting K-space data according to the under-acquisition trajectory;

[0047] The online imaging module 34 is configured to input the data collected from the K-space data into the deep learning network to obtain online magnetic resonance images.

[0048] Optionally, the setting module 31 is specific...

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Abstract

The invention belonging to the field of magnetic resonance reconstruction provides a magnetic resonance under-acquisition method and device. The method comprises: under-acquisition mask setting is carried out on a view of K space along a preset dimension; Hamming filtering is carried on the under-acquisition mask to obtain an under-acquisition track; according to the under-acquisition track, K space data acquisition is carried out; and the data collected from the K space data are inputted into a deep learning network, thereby obtaining an on-line magnetic resonance image. Therefore, the magnetic resonance imaging efficiency and precision can be improved.

Description

technical field [0001] The invention belongs to the technical field of magnetic resonance reconstruction, and in particular relates to a method and device for under-collection of magnetic resonance. Background technique [0002] At present, the generalized auto-calibrating partially parallel acquisitions (Generalized Auto-calibrating Partially Parallel Acquisitions, GRAPPA) algorithm, the SPIRIT algorithm, and the sensitivity encoding (Sensitivity Encoding, SENSE) algorithm are usually used for magnetic resonance imaging. However, the GRAPPA algorithm has the problems of poor reconstructed image quality and long data scanning time, especially when the acceleration factor increases, the effect gradually becomes unsatisfactory; SPIRIT algorithm is another imaging technology based on the GRAPPA algorithm. , the effect has some improvements compared to the GRAPPA algorithm, but there are still problems similar to the GRAPPA algorithm. The SENSE algorithm based on the image doma...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R33/561
Inventor 梁栋王珊珊肖韬辉刘新郑海荣
Owner SHENZHEN INST OF ADVANCED TECH
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