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Fast and effective dynamic MRI method based on compressive sensing technology

A technology of magnetic resonance imaging and compressed sensing, applied in the fields of sensors, medical science, diagnostic recording/measurement, etc.

Inactive Publication Date: 2014-01-15
SHANDONG UNIV AT WEIHAI +1
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Problems solved by technology

[0004] Traditional fast dynamic magnetic resonance imaging methods are limited by Nyquist theorem, such as k-t Blast, k-t SENSE, UNFOLD, etc.

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  • Fast and effective dynamic MRI method based on compressive sensing technology
  • Fast and effective dynamic MRI method based on compressive sensing technology
  • Fast and effective dynamic MRI method based on compressive sensing technology

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Embodiment Construction

[0058] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.

[0059] (1) Obtain the measurement sample data of k-t space from the magnetic resonance scanner , , is a Fourier sampling operator, and the specific form is determined by the sampling trajectory. Here you can choose Cartesian sampling trajectory and non-Cartesian sampling trajectory. The commonly used non-Cartesian sampling trajectory includes radial, spiral, concentric circle, etc. If you use non-Cartesian sampling trajectory, you need to use interpolation to map the non-Cartesian coordinates to nearest neighbor integer points on a Cartesian grid point.

[0060] (2) Choose an appropriate sparse transformation for a specific application. For example, the x-f sparse domain is chosen for dynamic cardiac cine imaging, and the 3d total variation (TV) sparse domain is used for cardiac perfusion imaging in the presence of respiratory ...

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Abstract

The invention discloses a fast and effective dynamic MRI method based on a CS compressive sensing technology due to the fact that an existing imaging method is low in speed and high in hardware cost. The method comprises the steps that under a set accelerated factor, irrelevant sampling trajectories in k-t space are generated, and then data are collected according to the trajectories; objective functions are established by the utilization of the composite information of a dynamic MRI image sparse and low rank structure; finally, the composite regularization objective functions are solved through a kt-SLR method with Bregman iteration added, optimal solutions can be fast converged, and therefore original dynamic MRI image sequences are rebuilt. According to the method, the limit of the classic Nyquist sampling theorem is broken through, a small number of data points are sampled randomly, joint sparse information is combined, and the dynamic MRI image sequences are rebuilt through a fast nonlinear optimization algorithm of accelerating convergence. Therefore, MRI time is substantially shortened.

Description

technical field [0001] The invention relates to the technical field of medical imaging detection, in particular to the technical field of medical magnetic resonance imaging, and specifically refers to a fast and effective dynamic magnetic resonance imaging method based on compressed sensing technology. Background technique [0002] Dynamic magnetic resonance imaging (dMRI) is a voxel image imaging technology that uses nuclear magnetic resonance signals measured in vitro to generate dynamic characteristics of internal organs. It is a non-invasive diagnostic method with high soft tissue resolution. method incomparable advantages. However, conventional dynamic magnetic resonance imaging takes a long time, costs too much, and it is difficult to avoid image blur and contrast distortion caused by physiological movements in the subject's body, thus limiting its practical clinical application. [0003] Factors affecting the speed of dynamic MRI mainly include two aspects: (1) raw d...

Claims

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Application Information

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IPC IPC(8): A61B5/055
Inventor 董恩清吕成林李贞国曹祝楼
Owner SHANDONG UNIV AT WEIHAI
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