<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Falcao MBL</submitter><funding>Swiss National Science Foundation</funding><funding>NIBIB NIH HHS</funding><funding>National Institutes of Health</funding><funding>National Institute of Biomedical Imaging and Bioengineering</funding><pagination>101006</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11211232</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>26(1)</volume><pubmed_abstract>&lt;h4>Background&lt;/h4>Four-dimensional (4D) flow magnetic resonance imaging (MRI) often relies on the injection of gadolinium- or iron-oxide-based contrast agents to improve vessel delineation. In this work, a novel technique is developed to acquire and reconstruct 4D flow data with excellent dynamic visualization of blood vessels but without the need for contrast injection. Synchronization of Neighboring Acquisitions by Physiological Signals (SyNAPS) uses pilot tone (PT) navigation to retrospectively synchronize the reconstruction of two free-running three-dimensional radial acquisitions, to create co-registered anatomy and flow images.&lt;h4>Methods&lt;/h4>Thirteen volunteers and two Marfan syndrome patients were scanned without contrast agent using one free-running fast interrupted steady-state </pubmed_abstract><journal>Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance</journal><pubmed_title>Combined free-running four-dimensional anatomical and flow magnetic resonance imaging with native contrast using Synchronization of Neighboring Acquisitions by Physiological Signals.</pubmed_title><pmcid>PMC11211232</pmcid><funding_grant_id>T32 EB025766</funding_grant_id><funding_grant_id>PZ00P3_202140</funding_grant_id><funding_grant_id>PCEFP2_194296</funding_grant_id><funding_grant_id>201292</funding_grant_id><funding_grant_id>173129</funding_grant_id><funding_grant_id>PZ00P3_167871</funding_grant_id><funding_grant_id>T32EB025766</funding_grant_id><funding_grant_id>32003B_182615</funding_grant_id><pubmed_authors>Prsa M</pubmed_authors><pubmed_authors>Rossi GMC</pubmed_authors><pubmed_authors>Bastiaansen JAM</pubmed_authors><pubmed_authors>Stuber M</pubmed_authors><pubmed_authors>Rutz T</pubmed_authors><pubmed_authors>Falcao MBL</pubmed_authors><pubmed_authors>Rumac S</pubmed_authors><pubmed_authors>van Heeswijk RB</pubmed_authors><pubmed_authors>Speier P</pubmed_authors><pubmed_authors>Markl M</pubmed_authors><pubmed_authors>Tenisch E</pubmed_authors><pubmed_authors>Roy CW</pubmed_authors><pubmed_authors>Mackowiak ALC</pubmed_authors><pubmed_authors>Bacher M</pubmed_authors></additional><is_claimable>false</is_claimable><name>Combined free-running four-dimensional anatomical and flow magnetic resonance imaging with native contrast using Synchronization of Neighboring Acquisitions by Physiological Signals.</name><description>&lt;h4>Background&lt;/h4>Four-dimensional (4D) flow magnetic resonance imaging (MRI) often relies on the injection of gadolinium- or iron-oxide-based contrast agents to improve vessel delineation. In this work, a novel technique is developed to acquire and reconstruct 4D flow data with excellent dynamic visualization of blood vessels but without the need for contrast injection. Synchronization of Neighboring Acquisitions by Physiological Signals (SyNAPS) uses pilot tone (PT) navigation to retrospectively synchronize the reconstruction of two free-running three-dimensional radial acquisitions, to create co-registered anatomy and flow images.&lt;h4>Methods&lt;/h4>Thirteen volunteers and two Marfan syndrome patients were scanned without contrast agent using one free-running fast interrupted steady-state </description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Summer</publication><modification>2026-04-08T04:10:24.564Z</modification><creation>2026-04-07T21:50:54.937Z</creation></dates><accession>S-EPMC11211232</accession><cross_references><pubmed>38309581</pubmed><doi>10.1016/j.jocmr.2024.101006</doi></cross_references></HashMap>