<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Gundogdu B</submitter><funding>Foundation for the National Institutes of Health</funding><funding>Comprehensive Cancer Center, University of Chicago Medical Center</funding><funding>NCI NIH HHS</funding><funding>NIH HHS</funding><pagination>2298-2310</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9545544</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>88(5)</volume><pubmed_abstract>&lt;h4>Purpose&lt;/h4>To evaluate and quantify inter-directional and inter-acquisition variation in diffusion-weighted imaging (DWI) and emphasize signals that report restricted diffusion to enhance cancer conspicuity, while reducing the effects of local microscopic motion and magnetic field fluctuations.&lt;h4>Methods&lt;/h4>Ten patients with biopsy-proven prostate cancer were studied under an Institutional Review Board-approved protocol. Individual acquisitions of DWI signal intensities were reconstructed to calculate inter-acquisition distributions and their statistics, which were compared for healthy versus cancer tissue. A method was proposed to detect and filter the acquisitions affected by motion-induced signal loss. First, signals that reflect restricted diffusion were separated from the acqui</pubmed_abstract><journal>Magnetic resonance in medicine</journal><pubmed_title>Directional and inter-acquisition variability in diffusion-weighted imaging and editing for restricted diffusion.</pubmed_title><pmcid>PMC9545544</pmcid><funding_grant_id>1R41CA244056‐01A1</funding_grant_id><funding_grant_id>R01 CA227036</funding_grant_id><funding_grant_id>R01 CA17280</funding_grant_id><funding_grant_id>R01 CA122706</funding_grant_id><funding_grant_id>1S10OD018448‐01</funding_grant_id><funding_grant_id>R41 CA244056</funding_grant_id><funding_grant_id>P30 CA014599‐37</funding_grant_id><funding_grant_id>P30 CA014599</funding_grant_id><funding_grant_id>S10 OD018448</funding_grant_id><pubmed_authors>Fan X</pubmed_authors><pubmed_authors>Oto A</pubmed_authors><pubmed_authors>Karczmar GS</pubmed_authors><pubmed_authors>Guo X</pubmed_authors><pubmed_authors>Yousuf A</pubmed_authors><pubmed_authors>Antic T</pubmed_authors><pubmed_authors>Chatterjee A</pubmed_authors><pubmed_authors>Pittman JM</pubmed_authors><pubmed_authors>Giurcanu M</pubmed_authors><pubmed_authors>Lee G</pubmed_authors><pubmed_authors>Devaraj A</pubmed_authors><pubmed_authors>Szasz T</pubmed_authors><pubmed_authors>Medved M</pubmed_authors><pubmed_authors>Gundogdu B</pubmed_authors><pubmed_authors>Engelmann R</pubmed_authors></additional><is_claimable>false</is_claimable><name>Directional and inter-acquisition variability in diffusion-weighted imaging and editing for restricted diffusion.</name><description>&lt;h4>Purpose&lt;/h4>To evaluate and quantify inter-directional and inter-acquisition variation in diffusion-weighted imaging (DWI) and emphasize signals that report restricted diffusion to enhance cancer conspicuity, while reducing the effects of local microscopic motion and magnetic field fluctuations.&lt;h4>Methods&lt;/h4>Ten patients with biopsy-proven prostate cancer were studied under an Institutional Review Board-approved protocol. Individual acquisitions of DWI signal intensities were reconstructed to calculate inter-acquisition distributions and their statistics, which were compared for healthy versus cancer tissue. A method was proposed to detect and filter the acquisitions affected by motion-induced signal loss. First, signals that reflect restricted diffusion were separated from the acqui</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Nov</publication><modification>2025-04-19T04:46:08.633Z</modification><creation>2025-04-19T04:46:08.633Z</creation></dates><accession>S-EPMC9545544</accession><cross_references><pubmed>35861268</pubmed><doi>10.1002/mrm.29385</doi></cross_references></HashMap>