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Method for rapidly extracting pharmacokinetic parameters from dynamic contrast enhanced magnetic resonance imaging data

A dynamic contrast enhancement and pharmacokinetic technology, applied in image data processing, neural learning methods, image enhancement, etc., can solve the problem of long time consumption, and achieve the effect of improving the accuracy of prediction

Pending Publication Date: 2020-12-08
ZHEJIANG UNIV
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Problems solved by technology

[0004] In order to solve the above-mentioned problem of using the eTofts model to fit DCE-MRI data takes a long time, the present invention provides a method for quickly extracting pharmacokinetic parameters from dynamic contrast-enhanced magnetic resonance imaging data, which can greatly shorten the DCE-MRI data. Extraction time of pharmacokinetic parameters from MRI data

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  • Method for rapidly extracting pharmacokinetic parameters from dynamic contrast enhanced magnetic resonance imaging data
  • Method for rapidly extracting pharmacokinetic parameters from dynamic contrast enhanced magnetic resonance imaging data
  • Method for rapidly extracting pharmacokinetic parameters from dynamic contrast enhanced magnetic resonance imaging data

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[0044] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings.

[0045] As a specific implementation example, the method for rapidly extracting pharmacokinetic parameters from dynamic contrast-enhanced magnetic resonance imaging data of the present invention is applied to multiple groups of tested DCE-MRI data, specifically including the following steps:

[0046] S1: Collect quantitative T1 imaging data, and then use the dynamic contrast-enhanced magnetic resonance imaging DCE-MRI sequence to collect the DCE-MRI data of the subject as the experimental DCE-MRI data; and calculate the change of intravascular contrast agent concentration based on the experimental DCE-MRI data Curve C p (t), and the pharmacokinetic parameters were fitted using the least-squares method.

[0047] S1-1. Place the subje...

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Abstract

The invention discloses a method for rapidly extracting pharmacokinetic parameters from dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) data. The method comprises the following steps: acquiring quantitative T1 imaging data, and acquiring DCE-MRI data of a subject as experimental DCE-MRI data by using a DCE-MRI sequence; calculating a contrast agent concentration change curve Cp (t)in a blood vessel according to the experimental DCE-MRI data, and fitting an eTofts model by using a least square sum method to obtain pharmacokinetic parameters; performing data enhancement accordingto the Cp (t): using a random linear combination method to obtain simulated blood vessel contrast agent concentration data, and obtaining simulated DCE-MRI data through the eTofts model; constructinga dual convolutional neural network (Dual-CNN) model, and initializing model parameters; training the Dual-CNN model; and extracting pharmacokinetic parameters by using the trained Dual-CNN model. According to the method provided by the invention, the speed of extracting the pharmacokinetic parameters from the DCE-MRI data can be remarkably increased, and the speed of reconstructing a tissue physiological parameter graph is increased.

Description

technical field [0001] The invention relates to the technical field of magnetic resonance imaging, in particular to a method for extracting pharmacokinetic parameters from dynamic enhanced magnetic resonance imaging (DCE-MRI) data. Background technique [0002] Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) technology is a very important magnetic resonance imaging technique, which is widely used in the research, diagnosis and treatment evaluation of various diseases in vivo. Through the analysis of DCE-MRI data, the pharmacokinetic parameters of physiological tissues can be quantitatively measured. Pharmacokinetic parameters can be obtained by regressing some tracer kinetic models, among which Tofts model and Extended Tofts (eTofts) model are most widely used in the analysis of DCE-MRI data. In traditional applications, pharmacokinetic parameter maps can be obtained by fitting trace kinetic models to DCE-MRI time series data voxel-by-voxel. The fitting of t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T11/00G06T5/00G06T7/00G06N3/04G06N3/08
CPCG06T11/005G06T7/0012G06N3/08G06T2207/10096G06T2207/20081G06T2207/20084G06T2207/30101G06N3/045G06T5/70
Inventor 白瑞良方可金心宇
Owner ZHEJIANG UNIV