Abstract #3501

Bi-exponential modeling of prostate diffusion weighted MR imaging acquired using high b values: clinical evaluations of advanced post-processing methods

Parisa Movahedi^1,2, Harri Merisaari^1,3, Ileana Montoya Perez^1,2, Jussi Toivonen^1,2, Pekka Taimen⁴, Peter J. Boström⁵, Janne Verho¹, Hannu J. Aronen^1,6, Tapio Pahikkala², and Ivan Jambor^1,6

¹Department of Diagnostic Radiology, University of Turku, Turku, Finland, ²Department of Future Technologies, University of Turku, Turku, Finland, ³Turku PET Center, University of Turku, Turku, Finland, ⁴Department of Pathology, Turku University Hospital, Turku, Finland, ⁵Department of Urology, Turku University Hospital, Turku, Finland, ⁶Medical Imaging Center of Southwest Finland, Turku University Hospital, Turku, Finland

The aim of this study was to evaluate various mathematical methods for enhanced parameter estimation of bi-exponential DWI (12 b values 0-2000 s/mm2) of prostate cancer. Least Squares (LSQ), Bayesian Shrinkage (BS) and Maximum Penalized Likelihood Estimation (MPLE) fitting methods were evaluated in the terms of Coefficients of Variation (CV), Contrast to Noise Ratio (CNR) and the Area under the curve (AUC) between tumor and non-tumor prostate tissue. BS and MPLE methods improved AUC and CNR values of bi-exponential model parameters and also decreased CV values in comparison with the commonly used LSQ fitting method.

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