Compressed sensing theory-based reconstruction method of magnetic resonance image

A magnetic resonance image, compressed sensing technology, applied in the direction of sensors, medical science, diagnostic recording/measurement, etc., can solve the problem of increasing the cost of storage and transmission

Inactive Publication Date: 2012-03-28
CAPITAL UNIVERSITY OF MEDICAL SCIENCES
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AI Technical Summary

Problems solved by technology

However, for the acquisition of digital images and videos, according to Shannon's theorem, it will lead to massive sampling data, which greatly increases the cost of storage and transmission.
If Shannon's theorem is not satisfied, the reconstructed image will produce various artifacts

Method used

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  • Compressed sensing theory-based reconstruction method of magnetic resonance image
  • Compressed sensing theory-based reconstruction method of magnetic resonance image
  • Compressed sensing theory-based reconstruction method of magnetic resonance image

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Embodiment Construction

[0044] In order to understand the technical content of the present invention more clearly, the following examples are given in detail.

[0045] The present invention collects part of the K data from the actual magnetic resonance equipment, and its data amount is 1 / 10 to 1 / 5 of the complete K space data, so it is called a compressive sensing image reconstruction method.

[0046] Before elaborating the overall working process and working principle of the present invention, in order to clarify its technical meaning more clearly, it is first necessary to introduce the Contourlet transform.

[0047] Contourlet transform is a multi-scale geometric analysis tool for images, which can effectively represent images with rich contours and textures, and has strong nonlinear approximation ability. image 3 Shown is the structure diagram of the Contourlet transformation.

[0048] Contourlet transform separates multi-scale analysis and multi-directional analysis, and it is divided into two ...

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Abstract

The invention provides a compressed sensing theory-based reconstruction method of a magnetic resonance random sampled K space data image. The reconstruction method applies a contourlet conversion and iterative soft thresholding method to realize reconstruction of a magnetic resonance image. The method comprises the following steps: collecting K space data in a magnetic resonance image scanner according to a preset observation matrix phi to generate a measurement value, and keeping y; acquiring y from a coil of the magnetic resonance image scanner, and transmitting y to a computer; and finallyconstructing a same phi, constructing any orthogonal transformation psi, and recovering from y by adopting a compressed sensing theory-based magnetic resonance random sampled K space data image reconstruction method according to reconstruction. According to the method, scanning time is saved, quick imaging is realized, high-quality reliable image information is provided to medical nuclear magnetic resonance imaging detection, and solid theoretical and practical foundation is established for further development and large-scale popularization and application of the medical imaging detection technology.

Description

technical field [0001] The present invention relates to the technical field of medical imaging detection, in particular to the technical field of magnetic resonance imaging, in particular to a method for reconstruction of magnetic resonance imaging based on compressed sensing Background technique [0002] Magnetic resonance imaging (MRI), as a non-invasive diagnostic method, contains a wealth of information and has incomparable advantages over imaging methods such as X-CT. However, conventional MRI takes too long (about several minutes), As a result, its cost is too high, and the physiological movement in the subject's body will produce blurred images and distortion of contrast, which limits its scope of clinical application. Under the premise of ensuring a certain MR image quality, accelerating the MR imaging speed has always been the driving force for the development of MR technology. If we simply compare the imaging time of completing the examination of the same case, th...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/055
CPCA61B5/055
Inventor 刘加峰张海燕景斌李海云
Owner CAPITAL UNIVERSITY OF MEDICAL SCIENCES
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