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Magnetic resonance imaging K space movement artifact correction parallel acquisition reconstruction method

A technology of magnetic resonance imaging and motion artifacts, which is applied in the directions of magnetic resonance measurement, magnetic variable measurement, and magnetic variable measurement to achieve the effect of improving acquisition speed

Active Publication Date: 2014-05-07
SHANGHAI UNITED IMAGING HEALTHCARE
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006]However, in this method, due to the serious overlap of k-space data, the acquisition time will be relatively long; the traditional k-space acquisition method is a more effective way to accelerate the acquisition speed The method is to use the parallel acquisition (GRAPPA) method
However, due to the existence of calibration data, the acceleration factor is discounted
Especially for the acquisition methods of Figure 1, because each The number of leaves in the acquisition area itself is very small. If the calibration data is added, the advantage of parallelism will not be obvious; The amount of partially overlapping data is generally small, which can lead to inaccurate calculated coefficients

Method used

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  • Magnetic resonance imaging K space movement artifact correction parallel acquisition reconstruction method
  • Magnetic resonance imaging K space movement artifact correction parallel acquisition reconstruction method
  • Magnetic resonance imaging K space movement artifact correction parallel acquisition reconstruction method

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Embodiment 1

[0049] Put the human tissue (object) that needs MRI into the MRI system, collect the K-space in multiple leaves to obtain the leaf-shaped K-space data subset (such as image 3 shown), each subset of K-space data is obtained in an under-sampling manner, thereby speeding up data acquisition, where, image 3 It is a single leaf collection method, the solid line represents the collected data, and the dotted line represents the undersampled data (the part that needs to be filled by calculation). Figure 4 Schematic diagram of the collection and reconstruction grouping of this scheme, Figure 4 In , two boxes with solid lines are one group (thick solid line plus thin solid line), and two boxes with dashed lines are another group. The area surrounded by solid lines represents a leaf-shaped subset of K-space data. In the scheme presented in this paper, the coil merge coefficient computer data padding process occurs within the group.

[0050] For the convenience of illustration, it ...

Embodiment 2

[0057] If the two blades do not meet the vertical relationship, the blade calculated as the coefficient will be transformed into the grid point under the Cartesian coordinate system of the target blade as follows: Figure 7 situation shown.

[0058] Figure 7 a is the relationship between the two blades, Figure 7 b is an illustration considering the gray dotted leaf alone. In this case, since the gray leaf points still have continuous distribution points in the x direction, use Image 6 The window shown in a, extract this part of data, and calculate the combination coefficient.

[0059] In order to make the relationship of the inter-calibration data leaves as vertical as possible, after the first leaf is collected, the phase encoding and frequency encoding gradients are exchanged, and the other leaf (such as image 3 b First collect the solid thin line, then collect the solid thick line, one group is completed; then collect the virtual thin line, then the virtual thick li...

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Abstract

The invention provides a magnetic resonance imaging K space movement artifact correction parallel acquisition reconstruction method. The method comprises the following steps: an imaged object is placed in a magnetic resonance imaging system to acquire magnetic resonance signals for filing the K space; acquisition is performed on the K space in the multiple-blade manner, wherein the inter-blade K space geometrical relationship is that rotation is performed for an angle; correction is performed on the acquired blades according to the PROPELLER algorithm to calculate the inter-blade data change due to rigid body motion and calculate the movement calibration coefficient of each blade; for each blade, other appropriate blades are selected separately, and the other blades are transformed into the Cartesian coordinate system of the blade according to the movement calibration coefficient to calculate the coil consolidation coefficient in the blade data missing direction; the data missed by the blade is filled according to the calculated coefficient; after same operations are performed on all of the blades, the data filling of each blade is completed, then the complete K space is filled according to the PROPELLER algorithm and transformed to the image domain through appropriate transformation to obtain images. By adopting the method, parallel acquisition reconstruction can be performed without acquiring calibration data while effectively removing movement artifact so as to improve the acquisition speed.

Description

【Technical field】 [0001] The invention relates to the field of magnetic resonance imaging, in particular to a parallel acquisition and reconstruction method for correcting K-space motion artifacts of magnetic resonance imaging. 【 Background technique 】 [0002] In magnetic resonance imaging technology, the speed of imaging is a very important criterion to measure the imaging method. A very important factor limiting the imaging speed is data acquisition and K-space filling. The general data collection method needs to collect full K-space data, and then the image can be reconstructed. The magnetic resonance parallel acquisition and reconstruction technology uses coil recombination to fill in the under-sampled data, and uses the filled K-space data for reconstruction. Using this method, only a part of the K-space data can be collected according to the requirement, and it is not necessary to collect the entire K-space, thereby greatly speeding up the imaging speed. [0003]...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R33/44G01R33/58
Inventor 翟人宽
Owner SHANGHAI UNITED IMAGING HEALTHCARE
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