Parallel magnetic resonance imaging method and device based on adaptive joint sparse coding and computer readable medium

A magnetic resonance imaging, joint sparse technology, applied in computing, image enhancement, image analysis, etc.

Active Publication Date: 2018-06-12
SHENZHEN INST OF ADVANCED TECH
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  • Abstract
  • Description
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However, the calibration-free reconstruction methods proposed no...

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  • Parallel magnetic resonance imaging method and device based on adaptive joint sparse coding and computer readable medium
  • Parallel magnetic resonance imaging method and device based on adaptive joint sparse coding and computer readable medium
  • Parallel magnetic resonance imaging method and device based on adaptive joint sparse coding and computer readable medium

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Embodiment Construction

[0076] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the invention. The present invention may be practiced without some or all of these specific details. In other instances, well known process operations have not been described in detail in order not to unnecessarily obscure the present invention. While the invention will be described in conjunction with specific embodiments, it will be understood that they are not intended to limit the invention to those embodiments.

[0077] The following is based on figure 1 A parallel magnetic resonance imaging method based on adaptive joint sparse coding according to an embodiment of the present invention will be described in detail.

[0078] First, in step a, a parallel MRI model based on a calibration-free joint sparse coding is constructed, that is, a reconstruction model, and the model is defined as:

[0079]

[0080] In the formula, V represents the reconst...

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Abstract

The invention provides a parallel magnetic resonance imaging method and device based on adaptive joint sparse coding and a computer readable medium. According to the method, a l2-lF-l2, 1 minimum objective function is solved, wherein the l2 norm is a data fitting item, the lF norm represents a sparse representation error, and the l2, 1 mixed norm represents a joint sparse constraint between channels; then updating a sparse matrix, a dictionary and K-space data by adopting a divide-and-rule method and a corresponding algorithm; and finally solving a reconstructed image according to the sum of root mean squares of all channels. The method provided by the invention develops the joint sparsity of the channels by using the l2, 1 norm, calibration can be removed while the information sparsity isdeveloped, and the method has high robustness.

Description

technical field [0001] The present invention relates to the field of magnetic resonance imaging, in particular to a parallel magnetic resonance imaging method, device and computer-readable medium based on adaptive joint sparse coding. Background technique [0002] At present, in order to improve the speed of magnetic resonance imaging, parallel magnetic resonance imaging based on compressed sensing is more popular. Based on how the sensitivity information is used, reconstruction methods can be roughly divided into three categories: exact calibration, automatic calibration, and calibration-free. The calibration-free method combines prior information and has strong robustness in sensitivity information. Autocalibration does not rely on accurate pre-estimated sensitivity information. K-space self-calibration sensitivity methods include GRAPPA, L1-SPIRiT, etc., and the image reconstruction quality of these methods is better. However, as the speedup increases, the performance ...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T5/003G06T2207/10088G06T2207/20056
Inventor 王珊珊梁栋谭莎刘新郑海荣
Owner SHENZHEN INST OF ADVANCED TECH
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