SU-E-I-18: Variability of Physiological Parameters Estimated by AATH and MTK Models in DCE-MRI

Medical Physics
C LiuHo-Ling Liu

Abstract

To assess the accuracy and precision of physiological parameters estimated by the modified Tofts and Kermode (mTK) model and the adiabatic approximation to the tissue homogeneity (AATH) model in dynamic contrast enhanced (DCE) MRI. Computer simulations were performed using the arterial input function (AIF) from Parker et al., and the multiple indicator, multiple path, indicator dilution 4 region (MMID4) model for simulating the tissue concentration time curve. A set of physiological parameters, simulating a breast tumor, was selected as the input to the MMID4. The output was then converted to signal time curve using SPGR signal equation. Four levels of Gaussian noise, corresponding to SNRs of 100, 50, 20 and 10, were added to the signal time curves, with 1000 iterations each. These curves were then transferred back to concentration time curves on which mTK and AATH models were applied for fitting. For AATH model the mean transit time (tau) was held as a fixed parameter ranged from 2 to 10 s, and the final solution was selected based on minimizing the root mean square error. For common parameters obtained by both models (Ktrans, Ve, Vp), AATH provided better accuracy, which agreed with the literatures, whereas mTK resulted in su...Continue Reading

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