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Magnetic resonance multi-contrast image reconstruction method and device

An image reconstruction and contrast technology, applied in the field of image processing, can solve problems such as image contrast pollution and inaccurate image results, and achieve the effect of improving accuracy

Inactive Publication Date: 2018-01-09
SHANGHAI NEUSOFT MEDICAL TECH LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] However, in this method of directly sharing data, since the tissue structure information scanned under one contrast is directly shared with images under other contrasts, the contrast between the images will be polluted, resulting in the result of the final reconstructed image. precise

Method used

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  • Magnetic resonance multi-contrast image reconstruction method and device

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Experimental program
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Embodiment approach 1

[0052] Before introducing the first implementation mode, first introduce the prerequisites for the implementation of the first implementation mode.

[0053] In the magnetic resonance multi-contrast image, the magnetic resonance signal reflecting tissue structure information is a high-frequency signal in the frequency space, and the signal located in the peripheral area filling the K-space is a signal reflecting tissue structure information. A larger number of signals is required to reflect organizational structure information. The signal reflecting the contrast information is a low-frequency signal in the frequency space, therefore, a small number of signals can reflect the contrast, so that the magnetic resonance signal data reflecting the contrast signal can be obtained by only scanning the signal filling the central area of ​​K space.

[0054] Among them, the K space refers to the magnetic resonance signal space (original data space), that is, the Fourier transform space. T...

Embodiment approach 2

[0105] Embodiment 2 has many similarities with Embodiment 1. For the sake of brevity, Embodiment 2 focuses on the differences between the two. For the similarities, please refer to the relevant description of Embodiment 1.

[0106] Figure 4 It is a schematic flow chart of Embodiment 2 of the present application. Such as Figure 4 As shown, the second embodiment also includes a data acquisition process and an image reconstruction process, wherein the data acquisition process includes the following steps:

[0107] S401 to S402 are the same as steps S301 to S302 in Embodiment 1, and for the sake of brevity, no detailed description is given here.

[0108] S403. Acquire the magnetic resonance signal data of the central region in the frequency space of each contrast according to the set magnetic resonance scanning parameters, wherein the magnetic resonance signal data of the central region in the frequency space of each contrast reflect each contrast The signal data under the co...

Embodiment approach 3

[0119] Figure 5 It is a schematic flow chart in Embodiment 3 of the present application. Such as Figure 5 As shown, this embodiment 3 includes the following steps:

[0120] S501, setting the magnetic resonance scanning parameters under each contrast.

[0121] S502. According to the set magnetic resonance scanning parameters, adopt the acquisition method of full sampling of the sampling points in the central area of ​​K space according to the preset acquisition trajectory to separately acquire the magnetic resonance signal data under each contrast, the magnetic resonance signal data under each contrast Including magnetic resonance signal data in the central area of ​​K-space and magnetic resonance signal data in the peripheral area of ​​K-space; the preset acquisition trajectory is a spiral trajectory or a radial trajectory;

[0122] Among them, the magnetic resonance signal data in the central area of ​​K space is the signal data reflecting the contrast The magnetic res...

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Abstract

The invention discloses a magnetic resonance multi-contrast image reconstruction method and device. The method includes the following steps: collecting magnetic resonance signal data at N contrasts, wherein the magnetic resonance signal data includes signal data reflecting organizational structure information and signal data reflecting independent contrast information at each contrast; carrying out image reconstruction according to the signal data reflecting independent contrast information at each contrast to get contrast information images; carrying out image sharing information joint reconstruction according to the signal data reflecting organizational structure information to get a shared organizational structure information image of a multi-contrast image; and combining each contrastinformation image with the shared organizational structure information image of the multi-contrast image to generate an initial image at each contrast. The method not only can avoid repeated scanningof organizational structure information and save scanning time, but also can improve the accuracy of reconstructed images.

Description

technical field [0001] The present application relates to the field of image processing, in particular to a magnetic resonance multi-contrast image reconstruction method and device. Background technique [0002] Compared with other imaging equipment, MRI can obtain images with a variety of contrasts, providing richer information for diagnosis. [0003] The traditional magnetic resonance imaging method scans and reconstructs these images with different contrasts separately. Therefore, the imaging speed of magnetic resonance is slow, which seriously affects the clinical applicability. [0004] In many applications, such as relaxation parameter imaging, fat quantitative imaging, etc., the same sequence is used in the same MRI machine to scan the same patient multiple times with different sets of scan parameters, so as to obtain a variety of different Contrast image. These images with different contrasts contain many kinds of the same information, such as tissue structure info...

Claims

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Application Information

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IPC IPC(8): G01R33/54G01R33/56G01R33/561
CPCG01R33/54G01R33/56G01R33/5619G06T5/50G06T2207/10088G06T2207/20221G06T2207/20216G01R33/5611G01R33/5602G01R33/5608G01R33/4824G01R33/5601G01R33/543G06T11/006G06T11/008G06T5/70
Inventor 黄峰
Owner SHANGHAI NEUSOFT MEDICAL TECH LTD
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