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Diffusion tensor imaging method and system

A diffusion tensor imaging and image reconstruction technology, which is applied in diagnostic recording/measurement, medical science, sensors, etc., can solve the problems that diffusion tensor imaging is prone to artifacts, restricts clinical applications, and poor image quality, and achieves increased stimulation. Number of times, guaranteed imaging quality, and the effect of improving quality

Active Publication Date: 2012-06-13
SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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Problems solved by technology

Due to the long echo chain of single-shot acquisition, the signal at the end of the chain decays quickly, and serious geometric deformation will occur at the tissue boundary with large magnetic susceptibility differences, which will cause artifacts in diffusion tensor imaging, resulting in poor image quality. Poor, which limits its clinical application

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  • Diffusion tensor imaging method and system
  • Diffusion tensor imaging method and system
  • Diffusion tensor imaging method and system

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Embodiment Construction

[0027] In order to solve the problem of poor image quality caused by artifacts in the single-shot-echo-planar imaging process that is often used in traditional diffusion tensor imaging, a diffusion tensor imaging method with high image quality was proposed.

[0028] see figure 1 , in the field of diffusion tensor imaging, K space includes two directions Kx and Ky, Kx is the phase-encoding direction, and Ky is the readout direction.

[0029] see figure 2 , a diffusion tensor imaging method, comprising the following steps:

[0030] Step S10, divide the K-space in the readout direction, and divide the K-space into a plurality of mutually independent subspaces. see image 3 , in the K-space readout direction Ky, the K-space is divided into multiple mutually independent subspaces.

[0031] Step S20, excite a plurality of independent subspaces in the readout direction of the K-space, and sample the K-space in the phase-encoding direction to obtain data of the K-space.

[0032]...

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Abstract

The invention relates to a diffusion tensor imaging method, which comprises the following steps of: dividing a K space into a plurality of mutually separated subspaces along a reading-out direction in the K space; divide the mutually separated subspaces along the reading-out direction in the K space; sampling the K space along a phase code direction to obtain data of the K space; and rebuilding the data of the K space to obtain a rebuilt image. In addition, the invention also provides a diffusion tensor imaging system.

Description

【Technical field】 [0001] The invention relates to magnetic resonance technology, in particular to a diffusion tensor imaging method and system. 【Background technique】 [0002] Diffusion tensor imaging (DTI), a new method developed on the basis of diffusion weighted imaging (DWI), is a special form of magnetic resonance imaging (MRI), and a new magnetic resonance imaging technology that has developed rapidly in recent years . Diffusion tensor imaging technology uses the diffusion anisotropy of water molecules for imaging. It can evaluate the integrity of tissue structure from the microscopic field, and can give disease status at the cellular and molecular levels. It is an important part of functional magnetic resonance imaging. . Diffusion tensor imaging is currently the only non-invasive examination technique for studying brain white matter structure and white matter bundle morphology in vivo, and it is also the only examination method that reflects the spatial composition...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/055
Inventor 吴垠刘伟刘新郑海荣邹超
Owner SHENZHEN INST OF ADVANCED TECH CHINESE ACAD OF SCI
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