Zhejiang University

Zejun Wang

Ruiliang Bai

Guangxu Han

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

Zejun Wang