Method and device for reconstructing magnetic resonance multi-contrast image

A contrast and magnetic resonance technology, applied in the field of medical imaging, can solve the problem of reducing image signal-to-noise ratio and achieve the effect of maintaining image contrast

Active Publication Date: 2018-07-17
SHANGHAI NEUSOFT MEDICAL TECH LTD
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Problems solved by technology

[0006] Existing parallel imaging technologies such as Sensitivity Encoding (SENSE) and Generalized Auto-calibrating Partially Parallel Acquisitions (GRAPPA) techn

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  • Method and device for reconstructing magnetic resonance multi-contrast image
  • Method and device for reconstructing magnetic resonance multi-contrast image
  • Method and device for reconstructing magnetic resonance multi-contrast image

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Embodiment Construction

[0059] As described in the background technology section, although traditional parallel imaging techniques such as SENSE or GRAPPA can reduce the scanning time of MRI, it inevitably reduces the signal-to-noise ratio of the image and introduces certain artifacts into the image, resulting in The loss of diagnostic information in multi-contrast images increases the difficulty of disease diagnosis.

[0060] The inventors of the present application have found through research that the inherent tissue structure similarity in multi-contrast images can be used to accurately extract structural features, and sparsely constrained reconstruction based on the structural features can effectively suppress noise and artifacts and restore image quality. Details.

[0061] In view of this, an embodiment of the present application provides a method for reconstructing a magnetic resonance multi-contrast image. In the method, a transition image and a residual image of the image to be corrected can...

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Abstract

The application discloses a method for reconstructing a magnetic resonance multi-contrast image. A final reconstructed image is obtained by adding the transition image and the residual image of an image to be corrected, wherein the image to be corrected is at least one of initial images of N contrasts, the transition image has lower noise and artifacts than the initial images and loses a part of organizational structure information, the lost part of the organizational structure information can be compensated by the organizational structure information in the residual image, and the final imageobtained by the addition of the transition image and the residual image can maintain the fidelity of the image. Since the transition image and the residual image do not change the contrast and the resolution of the original image and both have low noise and artifacts, the final image obtained by the addition of the transition image and the residual image can maintain the contrast and the resolution of the image, and also has low noise and artifacts. The application also discloses a device for a reconstructing a magnetic resonance multi-contrast image.

Description

technical field [0001] The present application relates to the field of medical imaging, in particular to a reconstruction method and device for magnetic resonance multi-contrast images. Background technique [0002] Magnetic resonance imaging is a multi-contrast imaging technique that can obtain multiple contrast images and provide rich information for diagnosis. [0003] For example, T1 and T2 weighted images can reflect the molecular biology and histological characteristics of the examined site to a certain extent, and provide information for the detection and diagnosis of diseases. Generally speaking, T1-weighted images can better display the growing anatomical structure, and T2-weighted images are more sensitive to the display of lesions. Diffusion Weighted Imaging (DWI) is based on the movement of water molecules, which can reflect information based on the physiological state of the brain and provide important information for the identification and diagnosis of intracr...

Claims

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Application Information

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IPC IPC(8): G01R33/565
CPCG01R33/565
Inventor 黄峰韩璐陈名亮
Owner SHANGHAI NEUSOFT MEDICAL TECH LTD
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