Multi-parametric magnetic resonance imaging has come to play an important role in the diagnosis and treatment of prostate cancer. Despite numerous advances in the acquisition, processing, and analysis of these images, a great deal of variability still exists in the reliability of imaging-based information. In an effort to initialize a framework for standardizing the processing of prostate imaging data, we present a systematic evaluation of the effect that bias field correction and intensity normalization of T2w images have on downstream analyses. We show that this assessment allows us to achieve improved accuracy for tumor localization within the prostate.
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