Magnetic resonance dynamic imaging sampling method and image reconstruction methods

A dynamic imaging and image reconstruction technology, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of slow MRI imaging speed and poor imaging quality, and achieve the advantages of reducing sampling time, improving quality, and good robustness Effect

Inactive Publication Date: 2018-05-04
SHANGHAI JIAO TONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, traditional MRI has slow imaging speed and poor image quality for applications with high temporal sensitivity such as dynamic imaging (e.g. cardiac cine imaging)

Method used

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  • Magnetic resonance dynamic imaging sampling method and image reconstruction methods
  • Magnetic resonance dynamic imaging sampling method and image reconstruction methods

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Experimental program
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Embodiment 1

[0033] figure 1 It is a schematic diagram of the Cartesian sampling method, which is a preferred embodiment of the accelerated sampling method for magnetic resonance dynamic imaging of the present invention. The thick dashed line represents the sampled data points in k-space, and the thin dashed line represents the unsampled data points in k-space. The k-space sampling positions of different frames are complementary or approximately complementary, and the k-space center position of each frame can properly collect some more data. The number of sampling points in each frame is only for illustration. The specific implementation manner of Cartesian sampling will be described in detail below.

[0034] Firstly, the number N of frames to be scanned is determined according to the actual application requirements. Then, the sampling position of each frame is calculated according to the sampling rate and the specific number of scanned frames N, so as to ensure that different sampling ...

Embodiment 2

[0036] figure 2 It is another preferred embodiment of the accelerated sampling method for magnetic resonance dynamic imaging of the present invention, and it is a schematic diagram of a radial sampling method. The thick dashed line represents the sampled data points in k-space, and the thin dashed line represents the unsampled data points in k-space. The k-space sampling positions of different frames are complementary or nearly complementary. The number of sampling points in each frame is only for illustration.

[0037] As shown in the figure, it is assumed that dynamic imaging collects a total of N frames of images, and then the sampling position of each frame is calculated according to the sampling rate and the specific number of scanned frames N to ensure that different sampling points form a complementary or approximately complementary relationship. Different frames can collect data from different angles, and the final combination is equivalent to the k-space being full...

Embodiment 3

[0039] In this embodiment, the sampling method and the image reconstruction are combined, and the cardiac cine imaging is taken as an example for specific description. Include the following steps:

[0040] The first step is to determine the number of phases of cardiac cine imaging, that is, the number of frames to be scanned, in the protocol preparation stage before patient scanning;

[0041] The second step is to calculate the sampling point position of each frame according to the sampling rate, the number of scanned frames and other information;

[0042] The third step is to scan the patient to obtain k-space data;

[0043] The fourth step is to combine the k-space data of each frame to obtain the combined k-space;

[0044] The fifth step is to perform inverse Fourier transform on the combined k-space data to obtain the combined image;

[0045] In the sixth step, the combined image is used as a priori image and reconstructed to obtain the final result.

[0046]If other r...

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Abstract

The invention discloses a magnetic resonance dynamic imaging sampling method which includes the steps of acquiring multi-frame images and allocating k-space sampling point positions of different frameimages to form a position complementary or approximately complementary relationship, wherein after being combined, the sampling point positions of different frame images form a complete sampling or approximately complete sampling k-space, which is called a combined k-space. A variety of magnetic resonance reconstruction methods can be used to reconstruct images, such as a compressive sensing method, a method based on prior images or reference images, and a parallel reconstruction method (GRAPPA, SENSE, and variants thereof). The invention also discloses two methods for performing image reconstruction on the sampling method. Compared with a traditional under-sampling method, the technology can further reduce the sampling rate, reduce the number of samples, further reduce the scanning time,and improve the quality of reconstruction results.

Description

technical field [0001] The invention relates to the field of magnetic resonance imaging, in particular to a magnetic resonance dynamic imaging sampling method and an image reconstruction method. Background technique [0002] Magnetic resonance imaging (MRI) has the characteristics of non-invasiveness, no ionizing radiation, high soft tissue contrast, and can provide clear anatomical and functional information of the internal structure of the human body. At present, MRI has been widely used in medical research and clinical diagnosis. However, the imaging speed of traditional MRI is slow, and the imaging quality is poor for applications with high time sensitivity requirements such as dynamic imaging (such as cardiac cine imaging). [0003] An effective way to speed up MRI imaging is to reduce the amount of data acquisition. Currently, parallel imaging techniques (GRAPPA and SENSE) and compressed sensing (CS) techniques are widely used. The CS theory takes advantage of the sp...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T11/00A61B5/055
CPCA61B5/055G06T11/005G06T2207/10088
Inventor 赵俊李建森
Owner SHANGHAI JIAO TONG UNIV
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