MRI Diffusion Imaging Method Based on Multiple Excitations

Abstract

The present invention proposes a magnetic resonance diffusion imaging method based on multiple excitations, which includes: performing multiple excitations on the measured target, and performing signal acquisition on the measured target during each excitation, so as to obtain the reduction rate of the multiple excitations. The k-space data collected; recover the k-space data of the data points to be restored according to the k-space data collected by multiple excitations within the preset range where the data points to be restored are located, so as to obtain the k-space data of multiple excitations ; The inverse Fourier transform is performed on the k-space data of multiple excitations to obtain the image domain data of multiple excitations; the image domain data of multiple excitations is merged to generate the desired image. The method of the embodiment of the present invention can effectively eliminate motion artifacts between different excitations, can be used to diffuse images in multiple acquisitions, provide high image resolution, reduce image deformation, and simplify the reconstruction process.

Description

technical field [0001] The invention relates to the field of magnetic resonance technology, in particular to a method for magnetic resonance diffusion imaging based on multiple excitations. Background technique [0002] Magnetic resonance diffusion imaging technology is currently the only imaging method for measuring the diffusion movement of water molecules in vivo. It senses the microscopic movement of water molecules by applying a diffusion gradient to detect the microstructure of tissues, which can obtain both structural information and functional information. Therefore, The technology has developed rapidly in the past decade and has gradually become an important routine clinical examination and scientific research tool. Currently, the diffusion imaging method used clinically is usually single-shot echo planar imaging (Echo Planar Imaging, EPI for short). The characteristic of single-shot EPI imaging is that the scanning time is short, and it is less affected by the mot...

AI Technical Summary

Problems solved by technology

However, there are still defects in the phase correction in the image domain, that is, the navigation data and the imaging data need to be consistent in the image domain, and in many cases, the acquisition bandwidth of the navigation data and the imaging data cannot be exactly the same, so the phase error Inaccurate, it will affect the final image quality

In this case, image registration between imaging data and navigation data is required, which will cause problems for imaging and reconstruction

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