Optimization of b-value distribution for biexponential diffusion-weighted MR imaging of normal prostate

Purpose

To determine the optimal b-value distribution for biexponential diffusion-weighted imaging (DWI) of normal prostate using both a computer modeling approach and in vivo measurements.

Materials and Methods

Optimal b-value distributions for the fit of three parameters (fast diffusion Df, slow diffusion Ds, and fraction of fast diffusion f) were determined using Monte-Carlo simulations. The optimal b-value distribution was calculated using four individual optimization methods. Eight healthy volunteers underwent four repeated 3 Tesla prostate DWI scans using both 16 equally distributed b-values and an optimized b-value distribution obtained from the simulations. The b-value distributions were compared in terms of measurement reliability and repeatability using Shrout-Fleiss analysis.

Results

Using low noise levels, the optimal b-value distribution formed three separate clusters at low (0-400 s/mm(2)), mid-range (650-1200 s/mm(2)), and high b-values (1700-2000 s/mm(2)). Higher noise levels resulted into less pronounced clustering of b-values. The clustered optimized b-value distribution demonstrated better measurement reliability and repeatability in Shrout-Fleiss analysis compared with 16 equally distributed b-values.

Conclusion

The optimal b-value distribution was found to be a clustered distribution with b-values concentrated in the low, mid, and high ranges and was shown to improve the estimation quality of biexponential DWI parameters of in vivo experiments. J. Magn. Reson. Imaging 2014;39:1213-1222. (c) 2013 Wiley Periodicals, Inc.