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Image processing method of hyperpolarized gas magnetic resonance

An image processing and magnetic resonance technology, which is applied in magnetic resonance measurement, measurement using nuclear magnetic resonance image system, and measurement of magnetic variables, etc., can solve the problems of difficulty and complexity in obtaining high-quality hyperpolarized gas magnetic resonance images, and achieve image The effect of detail information enhancement and measurement quality

Active Publication Date: 2017-05-10
WUHAN INST OF PHYSICS & MATHEMATICS CHINESE ACADEMY OF SCI
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  • Summary
  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the acquisition of high-quality hyperpolarized gas magnetic resonance images still faces great difficulty and complexity

Method used

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  • Image processing method of hyperpolarized gas magnetic resonance
  • Image processing method of hyperpolarized gas magnetic resonance
  • Image processing method of hyperpolarized gas magnetic resonance

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] figure 1 It is a schematic block diagram of a hyperpolarized gas magnetic resonance image processing method of the present invention, mainly including - determination of hyperpolarized gas magnetic resonance imaging parameters (including echo time, repetition time, matrix size, number of layers, layer thickness, field of view, etc. ), k-space data acquisition (fixed-angle excitation / central encoding), coefficient weight matrix determination, k-space data transformation, magnetic resonance image reconstruction (inverse Fourier transform), and image post-processing (denoising), to obtain super Magnetic resonance imaging of polarized gases.

[0027] Specifically:

[0028] Step 1: Select the imaging sequence, set the echo time, and set the excitation angle to obtain the original hyperpolarized gas magnetic resonance k-space data.

[0029] Because the longitudinal magnetization vector of hyperpolarized gas magnetic resonance is non-reproducible, hyperpolarized gas magnetic...

Embodiment 2

[0054] Such as image 3 As shown, steps 1-3 in this embodiment have the following differences from Embodiment 1: the imaging parameters of human lungs are: 1.5T magnetic resonance imager, the echo time is 2.7ms, the repetition time is 6.8ms, and the matrix size is 128×128, the number of layers is 7, the layer thickness is 20mm, and the field of view is 400×400mm 2 , the bandwidth is 25.6kHz, the total scan time is 6.1s, fixed-angle excitation (excitation angle is 9°), FLASH imaging sequence, center coding, the size of the coefficient weight matrix is ​​128×128, and the coefficient weight matrix is ​​according to formula (7), The angle θ in the coefficient weight matrix is ​​set to 6°. Others are the same as in Example 1.

[0055] image 3 A. image 3 B and image 3 C are the magnetic resonance images reconstructed according to the original hyperpolarized gas magnetic resonance k-space data of the fourth layer, the fifth layer and the sixth layer; image 3 D. image 3 E ...

Embodiment 3

[0061] Such as Figure 4 As shown, steps 1-3 in this embodiment have the following differences from Embodiment 1: the imaging parameters of human lungs are: 1.5T magnetic resonance imager, the echo time is 2.7ms, the repetition time is 6.8ms, and the matrix size is 128×128, the number of layers is 8, the layer thickness is 20mm, and the field of view is 400×400mm 2 , the bandwidth is 25.6kHz, the total scan time is 6.97s, fixed-angle excitation (excitation angle is 9°), FLASH imaging sequence, center coding, coefficient weight matrix size is 128×128, coefficient weight matrix according to formula (7), The angle θ in the coefficient weight matrix is ​​set to 6°. Others are the same as in Example 1.

[0062] Figure 4 A. Figure 4 B and Figure 4 C are the magnetic resonance images reconstructed according to the original hyperpolarized gas magnetic resonance k-space data of the fifth layer, the sixth layer and the seventh layer; Figure 4 D. Figure 4 E and Figure 4 F i...

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Abstract

The invention discloses an image processing method of hyperpolarized gas magnetic resonance. An imaging sequence is selected, echo time and an excitation angle are set, and original k space data of hyperpolarized gas magnetic resonance is obtained; point multiplication is carried out on the original k space data of hyperpolarized gas magnetic resonance and a coefficient weight matrix to obtain modified k space data of hyperpolarized gas magnetic resonance; and Fourier transform is carried out on the modified k space data of hyperpolarized gas magnetic resonance to obtain an optimized magnetic resonance image, and a BM3D algorithm is used to process the optimized magnetic resonance image and further to obtain a quality improved nuclear magnetic resonance image. The image quality of hyperpolarized gas magnetic resonance is improved effectively.

Description

technical field [0001] The invention relates to the technical fields of magnetic resonance imaging and digital images, in particular to a hyperpolarized gas magnetic resonance image processing method. Background technique [0002] Air pollution (such as smog, etc.) accelerates the malignant development of lung diseases, especially the health impact on the elderly, children and pregnant women is more serious. Research data show that every 10μg / m increase in PM2.5 3 It can increase the total mortality, cardiovascular disease mortality and lung cancer mortality by 4%, 6% and 8% respectively. At present, lung cancer has replaced liver cancer as the first cause of death from malignant tumors in my country. It is estimated that by 2025, the number of people who will die of lung cancer alone will reach 1 million each year. However, the early diagnosis rate of lung cancer is only 15% at present, and the diagnosis rate of stage 0 patients is less than 0.6% of the total number of lu...

Claims

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Application Information

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IPC IPC(8): G01R33/56A61B5/055
CPCA61B5/055G01R33/5602
Inventor 周欣邓鹤谢军帅孙献平叶朝辉
Owner WUHAN INST OF PHYSICS & MATHEMATICS CHINESE ACADEMY OF SCI
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