Diffusion weighted imaging (DWI) plays an important role in prostate cancer early detection and characterization. These analyses commonly rely on single shot EPI acquisitions, which can be associated with image distortions induced by field inhomogeneities induced by tissue / air interfaces. Herein we compare the faithfulness of EPI-derived DWI data, against that arising from Spatiotemporal Encoding (SPEN). In general, we find that SPEN delivers more faithful DW representations of the prostate anatomy within comparable scan times, without compromising SNR. SPEN can thus improve the contrast for prostate lesion detection, both in DW images and in calculated ADC maps.
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