Abstract #4489

**Optimizing Prostate DWI Acquisitions for non-Gaussian models using an Activity MRI [aMRI] library**

Xin Li¹, Ryan P Kopp^2,3, Eric M Baker¹, Brendan Moloney¹, Charles S Springer¹, Mark G Gartotto^2,3, 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

Synopsis

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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here