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However, poor repeatability and reproducibility of IVIM parameters hamper its wide\u2010scale adoption in the clinics. To address this, improvements to the IVIM data acquisition and analysis are necessary. The purpose of this study was to develop a framework for high\u2010quality IVIM imaging of the prostate. To boost signal precision and quality of IVIM parameter maps, we used a custom pulse sequence to combine velocity\u2010compensated diffusion encoding with spiral readout at a high\u2010performance 3\u2009T MRI system with 300\u2009mT\/m gradients. IVIM parameters were evaluated in a cohort of five men with and without prostate cancer. Technical performance was assessed in terms of the signal\u2010to\u2010noise ratio (SNR), visual quality of IVIM parameter maps and parameter repeatability. High in\u2010plane resolution images of the prostate were obtained with SNR\u2009&gt;\u20093 (i.e., noise floor level) in 91% of voxels at the highest b\u2010value of 500\u2009s\/mm\n                    <jats:sup>2<\/jats:sup>\n                    . The parameter maps exhibited high quality with fine features recovered in tissue diffusivity and perfusion fraction maps. Voxel\u2010wise and ROI\u2010based analysis revealed high repeatability of the parameters at single subject and group level across main prostatic tissue classes (peripheral and transitional zones) and prostate cancer. A combination of velocity\u2010compensated diffusion encoding, spiral readout and strong gradients enables high\u2010quality IVIM imaging in the prostate. Our framework may advance IVIM as a reliable imaging biomarker in prostate.\n                  <\/jats:p>","DOI":"10.1002\/nbm.70384","type":"journal-article","created":{"date-parts":[[2026,9,10]],"date-time":"2026-09-10T06:27:46Z","timestamp":1789021666000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Technical Feasibility of IVIM for Prostate Cancer Imaging Using High\u2010Amplitude Whole\u2010Body Gradient System With Spiral Readout and Velocity\u2010Compensated Diffusion Encoding"],"prefix":"10.1002","volume":"39","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8540-8424","authenticated-orcid":false,"given":"Malwina","family":"Molendowska","sequence":"first","affiliation":[{"name":"Medical Radiation Physics Lund University  Lund Sweden"},{"name":"Cardiff University Brain Research Imaging Centre (CUBRIC) Cardiff University  Cardiff 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