<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Brackenier Y</submitter><funding>Wellcome Trust</funding><pagination>817-831</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC9324873</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>88(2)</volume><pubmed_abstract>&lt;h4>Purpose&lt;/h4>To develop a fully data-driven retrospective intrascan motion-correction framework for volumetric brain MRI at ultrahigh field (7 Tesla) that includes modeling of pose-dependent changes in polarizing magnetic (B&lt;sub>0&lt;/sub> ) fields.&lt;h4>Theory and methods&lt;/h4>Tissue susceptibility induces spatially varying B&lt;sub>0&lt;/sub> distributions in the head, which change with pose. A physics-inspired B&lt;sub>0&lt;/sub> model has been deployed to model the B&lt;sub>0&lt;/sub> variations in the head and was validated in vivo. This model is integrated into a forward parallel imaging model for imaging in the presence of motion. Our proposal minimizes the number of added parameters, enabling the developed framework to estimate dynamic B&lt;sub>0&lt;/sub> variations from appropriately acquired data without r</pubmed_abstract><journal>Magnetic resonance in medicine</journal><pubmed_title>Data-driven motion-corrected brain MRI incorporating pose-dependent B&lt;sub>0&lt;/sub> fields.</pubmed_title><pmcid>PMC9324873</pmcid><funding_grant_id>WT 201526/Z/16/Z</funding_grant_id><funding_grant_id>203148/Z/16/Z</funding_grant_id><funding_grant_id>201526/Z/16/Z</funding_grant_id><funding_grant_id>WT 203148/Z/16/Z</funding_grant_id><funding_grant_id>WT203148/Z/16/Z</funding_grant_id><pubmed_authors>Wilkinson T</pubmed_authors><pubmed_authors>Cordero-Grande L</pubmed_authors><pubmed_authors>Brackenier Y</pubmed_authors><pubmed_authors>Malik SJ</pubmed_authors><pubmed_authors>Hajnal JV</pubmed_authors><pubmed_authors>Price A</pubmed_authors><pubmed_authors>Tomi-Tricot R</pubmed_authors><pubmed_authors>Bridgen P</pubmed_authors><pubmed_authors>De Vita E</pubmed_authors></additional><is_claimable>false</is_claimable><name>Data-driven motion-corrected brain MRI incorporating pose-dependent B&lt;sub>0&lt;/sub> fields.</name><description>&lt;h4>Purpose&lt;/h4>To develop a fully data-driven retrospective intrascan motion-correction framework for volumetric brain MRI at ultrahigh field (7 Tesla) that includes modeling of pose-dependent changes in polarizing magnetic (B&lt;sub>0&lt;/sub> ) fields.&lt;h4>Theory and methods&lt;/h4>Tissue susceptibility induces spatially varying B&lt;sub>0&lt;/sub> distributions in the head, which change with pose. A physics-inspired B&lt;sub>0&lt;/sub> model has been deployed to model the B&lt;sub>0&lt;/sub> variations in the head and was validated in vivo. This model is integrated into a forward parallel imaging model for imaging in the presence of motion. Our proposal minimizes the number of added parameters, enabling the developed framework to estimate dynamic B&lt;sub>0&lt;/sub> variations from appropriately acquired data without r</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Aug</publication><modification>2025-04-04T19:27:28.397Z</modification><creation>2025-04-04T19:27:28.397Z</creation></dates><accession>S-EPMC9324873</accession><cross_references><pubmed>35526212</pubmed><doi>10.1002/mrm.29255</doi></cross_references></HashMap>