| abstract |
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 full ) and the simplified vascular Shutter-Speed model (SSM vas ) 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 C ) score is used to comparing the DCE-MRI time-series signal fitting results to select the optimal model. If the optimal model is SSM full , distribution maps of five physiological parameters. K trans , p b p o , k bo , and k io , are produced after fitting; if the optimal model is SSM vas , distribution maps of three physiological parameters, K trans , p b , and k bo , are produced after fitting. Finally, perform error analysis on the k io and k bo , resulting the final distribution maps of k io and k bo along with distribution maps of parameters K trans , p b , p o . This method can improve the estimation accuracy of K trans , p b , p o , k bo and k io . |