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High-quality lung magnetic resonance imaging method based on over-complete dictionary and prior knowledge

An over-complete dictionary, magnetic resonance imaging technology, used in diagnostic recording/measurement, medical science, sensors, etc.

Active Publication Date: 2017-06-09
WUHAN INST OF PHYSICS & MATHEMATICS CHINESE ACADEMY OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, using undersampling techniques has its own problems

Method used

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  • High-quality lung magnetic resonance imaging method based on over-complete dictionary and prior knowledge
  • High-quality lung magnetic resonance imaging method based on over-complete dictionary and prior knowledge
  • High-quality lung magnetic resonance imaging method based on over-complete dictionary and prior knowledge

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Embodiment Construction

[0057] The present invention will be further described below in conjunction with accompanying drawing and implementation example (method flow chart is as follows figure 1 shown):

[0058] Step 1. Select 100 pieces of mouse lung magnetic resonance image data with a size of 256*256 pixels (the following matrix and vector units are pixels), and establish a complete dictionary according to the following steps (the flow chart is as follows: figure 2 shown):

[0059] Step 1.1, randomly select an image from 100 images, divide the image into blocks, the size of the block is 8*8, each block overlaps each other, and the difference between adjacent blocks is one row or one column, that is, overlap 7 rows or 7 columns, so that 62001 blocks can be obtained, and each block is arranged according to the following method: extract the first column from the left of the block as a column vector a1 with a size of 8*1, and then extract the left number of the block The second column is placed und...

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Abstract

The invention discloses a high-quality lung magnetic resonance imaging method based on an overcomplete dictionary and prior knowledge. This method first establishes an over-complete dictionary suitable for setting the object and image resolution; pre-imaging the lungs through small-angle excitation; then analyzes the K-space data obtained in the pre-imaging to extract the position of the local large point information; then adaptively generate a large-angle undersampling pulse sequence according to the position information of the local large point; use this pulse sequence to image the lungs again; finally select the previously established over-complete dictionary pair of setting objects and setting image resolution The image is reconstructed. Compared with the prior art, the method can obtain high-quality lung magnetic resonance images with higher resolution and signal-to-noise ratio.

Description

technical field [0001] The invention relates to the technical field of magnetic resonance imaging (MRI) of the lungs, in particular to a high-quality lung magnetic resonance imaging method based on an over-complete dictionary and prior knowledge. Background technique [0002] With the rapid development of economy in recent years, the air pollution situation in our country is becoming more and more serious. The impact of lung disease on national health is becoming more and more serious. There is an urgent need for a lung imaging method capable of early diagnosis of lung diseases. [0003] Magnetic resonance imaging using hyperpolarized gas as a contrast agent is a non-invasive, radioactive imaging method. It solves the problem that the traditional magnetic resonance imaging method cannot image the lungs, and has a good application prospect in the diagnosis of lung diseases. This method requires the use of hyperpolarized gas as a contrast agent, and the degree of polarizati...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/055
Inventor 周欣肖洒吕植成孙献平刘买利叶朝辉
Owner WUHAN INST OF PHYSICS & MATHEMATICS CHINESE ACADEMY OF SCI
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