摘要

Differences between region-of-interest (ROI) and pixel-by-pixel analysis of dynamic contrast enhanced (DCE) MRI data were investigated in this study with computer simulations and pre-clinical experiments. ROIs were simulated with 10, 50, 100, 200, 400, and 800 different pixels. For each pixel, a contrast agent concentration as a function of time, C(t), was calculated using the Tofts DCE-MRI model with randomly generated physiological parameters (K-trans and v(e)) and the Parker population arterial input function. The average C(t) for each ROI was calculated and then K-trans and ve for the ROI was extracted. The simulations were run 100 times for each ROI with new K-trans and ve generated. In addition, white Gaussian noise was added to C(t) with 3, 6, and 12 dB signal-to-noise ratios to each C(t). For pre-clinical experiments, Copenhagen rats (n = 6) with implanted prostate tumors in the hind limb were used in this study. The DCE-MRI data were acquired with a temporal resolution of similar to 5 s in a 4.7 T animal scanner, before, during, and after a bolus injection (< 5 s) of Gd-DTPA for a total imaging duration of similar to 10 min. K-trans and v(e) were calculated in two ways: (i) by fitting C(t) for each pixel, and then averaging the pixel values over the entire ROI, and (ii) by averaging C(t) over the entire ROI, and then fitting averaged C(t) to extract K-trans and ve. The simulation results showed that in heterogeneous ROIs, the pixel-by-pixel averaged K-trans was similar to 25% to similar to 50% larger (p < 0.01) than the ROI-averaged K-trans. At higher noise levels, the pixel-averaged K-trans was greater than the 'true' K-trans, but the ROI-averaged K-trans was lower than the 'true' K-trans. The ROI-averaged K(trans)was closer to the true K-trans than pixel-averaged K-trans for high noise levels. In pre-clinical experiments, the pixel-by-pixel averaged K-trans was similar to 15% larger than the ROI-averaged K-trans. Overall, with the Tofts model, the extracted physiological parameters from the pixel-by-pixel averages were larger than the ROI averages. These differences were dependent on the heterogeneity of the ROI.