Fast and parallel dynamic MRI method based on compressive sensing technology
The invention discloses a fast and parallel 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...
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Format | Patent |
Language | Chinese English |
Published |
15.01.2014
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Abstract | The invention discloses a fast and parallel 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 an FCSA, optimal solutions can be fast obtained in parallel, 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 the FCSA allowing parallel implementation. Therefore, MRI |
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AbstractList | The invention discloses a fast and parallel 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 an FCSA, optimal solutions can be fast obtained in parallel, 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 the FCSA allowing parallel implementation. Therefore, MRI |
Author | ZHENG QINGBIN CAO ZHULOU LV CHENGLIN DONG ENQING |
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Snippet | The invention discloses a fast and parallel dynamic MRI method based on a CS compressive sensing technology due to the fact that an existing imaging method is... |
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Title | Fast and parallel dynamic MRI method based on compressive sensing technology |
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