Zhejiang University

Guangxu Han

Ruiliang Bai

Yinhang Jia

Zejun Wang

Yingchao Liu

The invention discloses a method for measuring the intracellular water transmembrane efflux rate (k): setting magnetic resonance imaging parameters and measuring the noise level during scanning. Optimizing the flip angle and resetting it through Monte Carlo simulation. Scanning quantitative T1 imaging. Scanning dynamic-contrast-enhanced magnetic resonance imaging and injecting contrast agent. The full shutter speed model (SSM) is used to analyze every voxel in the tumor area and obtain the kof them. This method significantly improves the accuracy of k. The invention discloses the measuring method, system and application of kas a magnetic resonance imaging biomarker of glioma, which is not for disease diagnosis, to evaluate the expression level of AQP4. The invention discloses the application of kas a magnetic resonance imaging marker of glioma in the preparation of a product for predicting the sensitivity of glioma radiotherapy and chemotherapy. Through the above methods, systems and applications, the non-invasive and quantitative measurement and imaging of AQP4 expression level in glioma have been realized.

Method and application for measuring the intracellular water transmembrane efflux rate, and measurement method and system for magnetic resonance imaging biomarker of glioma

The present invention discloses an analysis method for dynamic contrast-enhanced magnetic resonance image. Firstly, the time-series signal of vascular contrast agent concentration, AIF, of biological individual is obtained from DCE-MRI time-series data. Secondly, perform the nonlinear least sum of square fitting by using the full Shutter-Speed model (SSM) and the simplified vascular Shutter-Speed model (SSM) on the DCE-MRI time-series signal of each pixel, and the fitting results of DCE-MRI time-series signal are obtained. Thirdly, the corrected Akaike Information Criterion (AIC) score is used to comparing the DCE-MRI time-series signal fitting results to select the optimal model. If the optimal model is SSM, distribution maps of five physiological parameters. K, pp, k, and k, are produced after fitting; if the optimal model is SSM, distribution maps of three physiological parameters, K, p, and k, are produced after fitting. Finally, perform error analysis on the kand k, resulting the final distribution maps of kand kalong with distribution maps of parameters K, p, p. This method can improve the estimation accuracy of K, p, p, kand k.

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Hangzhou, China

Guangxu Han