Samenvatting
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.
Originele taal-2 | English |
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Pagina's (van-tot) | 1213-1222 |
Aantal pagina's | 10 |
Tijdschrift | Journal of Magnetic Resonance Imaging |
Volume | 39 |
Nummer van het tijdschrift | 5 |
DOI's | |
Status | Published - mei-2014 |