{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Daude P"],"funding":["Intramural NIH HHS","NHLBI Division of Intramural Research","Division of Intramural Research"],"pagination":["751-760"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11142871"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["92(2)"],"pubmed_abstract":["<h4>Purpose</h4>To develop an inline automatic quality control to achieve consistent diagnostic image quality with subject-specific scan time, and to demonstrate this method for 2D phase-contrast flow MRI to reach a predetermined SNR.<h4>Methods</h4>We designed a closed-loop feedback framework between image reconstruction and data acquisition to intermittently check SNR (every 20 s) and automatically stop the acquisition when a target SNR is achieved. A free-breathing 2D pseudo-golden-angle spiral phase-contrast sequence was modified to listen for image-quality messages from the reconstructions. Ten healthy volunteers and 1 patient were imaged at 0.55 T. Target SNR was selected based on retrospective analysis of cardiac output error, and performance of the automatic SNR-driven \"stop\" was a"],"journal":["Magnetic resonance in medicine"],"pubmed_title":["Inline automatic quality control of 2D phase-contrast flow MRI for subject-specific scan time adaptation."],"pmcid":["PMC11142871"],"funding_grant_id":["ZIA-HL006257","ZIA-HL006213","ZIA HL006213","ZIA HL006257","ZIA‐HL006257","ZIA‐HL006213"],"pubmed_authors":["Daude P","Campbell-Washburn AE","Lederman RJ","Ramasawmy R","Chow K","Javed A"],"additional_accession":[]},"is_claimable":false,"name":"Inline automatic quality control of 2D phase-contrast flow MRI for subject-specific scan time adaptation.","description":"<h4>Purpose</h4>To develop an inline automatic quality control to achieve consistent diagnostic image quality with subject-specific scan time, and to demonstrate this method for 2D phase-contrast flow MRI to reach a predetermined SNR.<h4>Methods</h4>We designed a closed-loop feedback framework between image reconstruction and data acquisition to intermittently check SNR (every 20 s) and automatically stop the acquisition when a target SNR is achieved. A free-breathing 2D pseudo-golden-angle spiral phase-contrast sequence was modified to listen for image-quality messages from the reconstructions. Ten healthy volunteers and 1 patient were imaged at 0.55 T. Target SNR was selected based on retrospective analysis of cardiac output error, and performance of the automatic SNR-driven \"stop\" was a","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024 Aug","modification":"2026-03-18T13:22:21.579Z","creation":"2025-08-18T09:53:57.419Z"},"accession":"S-EPMC11142871","cross_references":{"pubmed":["38469944"],"doi":["10.1002/mrm.30083"]}}