Dynamic magnetic resonance rapid reconstruction method

Abstract

The invention discloses a dynamic magnetic resonance rapid reconstruction method, which comprises the following steps: a first frame adopts high-precision sampling as a reference frame, and the firsttwo frames are rapidly reconstructed by adopting a DTV algorithm; CFT data fusion is carried out on a subsequent frame and a reconstructed second frame before reconstruction to generate a high-precision prediction image for the current frame, and then rapid reconstruction is carried out by using a total variation algorithm by using a residual image of the first frame and the prediction image. According to the invention, the redundancy characteristic of dMRI in the time-space domain is utilized; a weighted least square algorithm is optimized by adopting a PPCG technology; the sampling data of the k space is aggregated by using a CFT prediction algorithm; high-precision prediction is provided for a current frame, high-precision sampling of a first frame is combined as a reference image, rapid high-definition reconstruction of a dMRI imaging sequence is realized, and by supporting an online parallel reconstruction frame structure, the method can be easily combined with a multi-coil parallel imaging technology, and the reconstruction speed is further improved.

Description

Technical field [0001] The invention relates to the technical field of magnetic resonance imaging, in particular to a method for rapid dynamic magnetic resonance reconstruction, Background technique [0002] Magnetic resonance imaging (MRI) technology has the advantages of non-invasive, non-radiation, high resolution, and multi-dimensional imaging. It is widely used in various clinical medicine systems. It is another important clinical detection method after CT, but the speed of MR imaging Slowness is a major disadvantage, especially for dynamic magnetic resonance imaging (dMRI), which requires MRI image sequences with high spatial and temporal resolution to be obtained in a relatively short period of time, which is currently a difficult problem in the medical field, and the scan is too long Time plus the movement of the patient’s organs (such as breathing, swallowing, etc.) will result in blurred imaging, and it will not meet the needs of dynamic real-time imaging and functional...

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Problems solved by technology

[0002] Magnetic resonance imaging (MRI) technology has the advantages of non-invasive, non-radiation, high resolution and multi-dimensional imaging, and is widely used in various systems of clinical medicine. It is another important clinical detection method after CT, but the speed of MR imaging Slowness is one of its major disadvantages, especially dynamic magnetic resonance imaging (dMRI), which needs to obtain MRI image sequences with high spatio-temporal resolution in a short period of time, which is currently a difficult problem in the medical field. Too long scanning Time plus the patient's organ movement (such as breathing, swallowing, etc.) will lead to blurred imaging, and it cannot meet the needs of dynamic real-time imaging and functional imaging. Downsampling in k-space is a way to improve the imaging speed, but if Reconstructing images directly from k-space inverse Liye inversion, according to the Nyquist sampling theorem, will cause aliasing effects in the reconstructed images, and dynamic MRI data has strong sparsity in the space-time domain, making compressed sensing (compressive sensing) , CS) technology is widely used in MR image reconstruction. With the continuous development of magnetic resonance technology, the speed of data acquisition is getting faster and faster.

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