Magnetic resonance imaging method for realizing water-fat separation

Abstract

The invention relates to the technical field of magnetic resonance imaging and discloses a magnetic resonance imaging method for realizing water-fat separation. The method comprises: acquiring the primary data on a frame of in-phase images and primary data on two frames of opposed-phase images by using blade tracking; reconstructing the in-phase images according to the primary data of the in-phase images, calibrating the phase of the primary data on the opposed-phase images according to the primary data on the in-phase images, and reconstructing the opposed-phase images; and calculating the images of water and fat according to the in-phase images and the opposed-phase images. In the invention the blade tracking is adopted to acquire the k spatial data, so the rigid motion and impulse insensitivity advantages of the blade tracking are inherited, the sensitivity to motion artifact is lowered, and the signal-to-noise ratios of the images are improved.

Description

technical field [0001] The invention relates to the technical field of magnetic resonance imaging, in particular to a magnetic resonance imaging method capable of realizing water-fat separation. Background technique [0002] In Magnetic resonance imaging (MRI), due to the different molecular environments of the hydrogen protons in human body fat tissue and hydrogen protons in other tissues, their resonance frequencies are different; when fat and other tissues When hydrogen protons are simultaneously excited by radio frequency pulses, their relaxation times are also different. The signals were collected at different echo times, and adipose tissue and non-adipose tissue showed different phases and signal intensities. [0003] The Dixon method is a method used to generate pure water proton images in magnetic resonance imaging. Its basic principle is to collect water and fat protons in phase (In Phase) and out phase (Out phase). The echo signal, two echo signals with different...

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Problems solved by technology

The advantage of such methods is that motion introduces blur rather than artifacts in the reconstructed image, which has less impact on identifying objects in the image, but acquisition with radial or spiral trajectories usually increases the computational complexity of the reconstructed image , takes more time

[0007] As mentioned above, the Cartesian trajectory acquisition method is simple and time-saving, but it is very sensitive to motions such as rigid body motion and pulsation

Radial or helical trajectory acquisition methods convert motion artifacts into blurs in the reconstructed image, but are computationally complex and time-consuming

In short, neither of the above two types of methods can eliminate rigid body motion artifacts

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