Method and system for performing rapid diffusion tensor imaging under compression sensing framework

Abstract

The invention provides a method and a system for performing rapid diffusion tensor imaging under a compression sensing framework. The rapid diffusion tensor imaging method comprises the following steps: A, initializing a sampling mask1 which corresponds to a first diffusion gradient, and adopting a ray type sampling locus; and B, rotating the sampling mask 1 which corresponds to the first diffusion gradient by a fixed angle to obtain a sampling mask2 which corresponds to a second diffusion gradient, rotating the sampling mask2 which corresponds to the second diffusion gradient by a fixed angle in the same direction to obtain a sampling mask3 which corresponds to a third diffusion gradient, and so on till L sampling masks are obtained in total. The method and the system have the beneficial effects that under the situation of same sampling points, diffusion images of higher quality can be obtained by remodeling. In other words, less sampling points are needed in a novel scheme while the same image quality is obtained, the sampling time is shortened, and the aim of accelerating imaging is fulfilled.

Description

technical field [0001] The invention relates to an imaging method and system, in particular to a fast diffusion tensor imaging method and system under a compressed sensing framework. Background technique [0002] Magnetic resonance diffusion tensor imaging (DTI), as a special magnetic resonance imaging method, has the advantage of being able to evaluate the integrity of the tissue structure from the microscopic field, and it is also the only method to display the orientation of nerve fiber bundles. Compressed sensing (CS) theory, as a fast imaging method emerging in recent years, has been successfully applied in magnetic resonance imaging. The theory believes that if the signal is sufficiently sparse, then we can pass a very small number of sampling points (completely It can break the limitation of Nyquist sampling law) and perfectly reconstruct the original signal. [0003] The imaging process under the traditional compressed sensing framework can be briefly described as f...

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Problems solved by technology

[0009] However, due to the special imaging characteristics of diffusion tensor imaging, the scanning time is too long

This can easily cause motion artifacts, and even exceed the patient's tolerance, which limits its clinical application to a certain extent.

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