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Abstract #2831

Overcoming image distortions for DWI of prostate cancer using Spatiotemporal Encoding (SPEN)

Martins Otikovs1, Debbie Anaby2, Orith Portnoy2, Noam Nissan2, Barak Rosenzweig2, and Lucio Frydman3,4
1Weizmann Institute of Science, Rehovot, Israel, 2Sheba Medical Center, Ramat Gan, Israel, 3Department of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel, 4Azrieli National Center for Brain Imaging, Weizmann Institute of Science, Rehovot, Israel


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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