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Analysis method of dynamic contrast-enhanced magnetic resonance image

A technology of dynamic contrast enhancement and magnetic resonance images, which is applied in image analysis, medical images, image enhancement, etc., can solve problems such as inability to meet accurate analysis, and achieve the effect of improving estimation accuracy

Active Publication Date: 2019-10-29
ZHEJIANG UNIV
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Problems solved by technology

However, in biological tissues, especially in diseased brains, biological tissues often show complexity, and a single SSM subtype cannot satisfy the precise analysis of all voxels

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  • Analysis method of dynamic contrast-enhanced magnetic resonance image
  • Analysis method of dynamic contrast-enhanced magnetic resonance image
  • Analysis method of dynamic contrast-enhanced magnetic resonance image

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Embodiment Construction

[0049] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, and do not limit the protection scope of the present invention.

[0050] In the present invention, SSM full and SSM vas Two models such as figure 1 . SSM full It is a comprehensive three-point two-exchange model. The three points include water molecules in blood vessels, intercellular substances, and cells. Two exchanges refer to the exchange of water molecules between blood vessels and intercellular substances and the exchange of water between intercellular substances and intracellular water. The present invention In, think SSM full The direct exchange of water molecules in blood vessels with intracellular water molecules is negl...

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Abstract

The invention discloses a shutter speed model analysis method of a dynamic contrast-enhanced magnetic resonance image, wherein the method comprises the steps: obtaining a time signal of the blood vessel contrast agent concentration of a biological individual in DCE-MRI time series data; according to the time signal of the blood vessel contrast agent concentration, carrying out non-linear least square fitting on the DCE-MRI signal of each pixel with two models of SSM[full] and SSM[vas] respectively, to obtain the fitting result of the DCE-MRI signal of each pixel respectively; scoring and comparing the fitting results of the DCE-MRI signals of the pixels by a correction Akaike information criterion, and selecting an optimal model from the two models of SSM[full] and SSM[vas]; fitting according to the selected optimal model, and generating distribution diagrams of the physiological parameters K<trans>, pb, po, k[bo] and k[io]; carrying out error analysis on k[io] and k[bo] parameters, deleting the pixel results with confidence interval less than 95%, producing the final distribution diagram of the k[io] and k[bo] parameters and the final distribution diagram of the K<trans>, pb and po parameters. The method can automatically match the best SSM model of each image voxel and improve the estimation accuracy of the physiological parameters.

Description

technical field [0001] The invention belongs to the technical field of imaging, and in particular relates to an analysis method of a dynamic contrast-enhanced magnetic resonance image. Background technique [0002] DCE-MRI (Dynamic Contrast Enhanced Magnetic Resonance Imaging) uses fast MRI sequences to continuously acquire images before, during, and after intravenous injection of contrast agents, showing information that contrast agents enter target organs or tissue blood vessels, pass through capillaries and are finally cleared. Contrast-enhanced MRI can only be diagnosed through the morphological features of lesion enhancement, and can only reflect the enhancement characteristics at one or some fixed time points, and the result analysis depends on the experience of doctors. DCE-MRI can scan in multiple phases to produce continuous and dynamic images, which can more objectively reflect the enhancement characteristics of lesions, and have more comprehensive information on t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H30/40G16H30/20
CPCG16H30/40G16H30/20G01R33/56366G01R33/5601A61B5/055A61B2576/00G06T2207/10096G06T2207/10016G06T2207/30016G06T7/0016G06T2207/30096G01R33/56308
Inventor 白瑞良王泽君韩广旭
Owner ZHEJIANG UNIV
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