Optimizing Prostate DWI Acquisitions for non-Gaussian models using an Activity MRI [aMRI] library
Xin Li1, Ryan P Kopp2,3, Eric M Baker1, Brendan Moloney1, Charles S Springer1, Mark G Gartotto2,3, and Fergus V Coakley4
1Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, United States, 2Portland VA Medical Center, Portland, OR, United States, 3Urology, Oregon Health & Science University, Portland, OR, United States, 4Diagnostic Radiology, Oregon Health & Science University, Portland, OR, United States
Characterizing the non-Gaussian signature of the prostate DWI b-space decay often employs the kurtosis-, stretched-, and bi-exponential models. However, the optimal acquisition strategy in terms of maximum b value sampled and the number of b-values needed remains a research topic. Using the best-matched curves from a DWI library created with Monte Carlo random walk simulations of contracted Voronoi-cell ensembles, this work shows that, for prostate DWI, a maximum b-value near 2000 s/mm2 is optimal and the number of b-values is not as crucial as long as it is larger than the number of model parameters.
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