Analysis method of dynamic contrast-enhanced MRI
US11828826B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 8, 2020 |
| Grant date | Nov 28, 2023 |
| Priority date | — |
| Expiry date | Aug 5, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30096
- WIPO fieldMeasurement
- WIPO sectorInstruments
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 (SSMfull) and the simplified vascular Shutter-Speed model (SSMvas) 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 (AICC) score is used to comparing the DCE-MRI time-series signal fitting results to select the optimal model. If the optimal model is SSMfull, distribution maps of five physiological parameters. Ktrans, pb po, kbo, and kio, are produced after fitting; if the optimal model is SSMvas, distribution maps of three physiological parameters, Ktrans, pb, and kbo, are produced after fitting. Finally, perform error analysis on the kio and kbo, resulting the final distribution maps of kio and kbo along with distribution maps of parameters Ktrans, pb, po. This method can improve the estimation accuracy of Ktrans, pb,…
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