Autonomous Velocity Encoding ( VENC ) Selection Improves Precision of Quantitative Flow Measurement

作者：Pierre Daudé, Rajiv Ramasawmy, Christine Mancini, Dominique Franson, Sunggun Lee, Anastasia Tsakirellis, W. Patricia Bandettini, Ahsan Javed, Kelvin Chow, Adrienne Campbell‐Washburn · 发表于：Journal of Magnetic Resonance Imaging · 年份：2026 · DOI：10.1002/jmri.70443 · 研究领域：Advanced MRI Techniques and Applications、Cerebrospinal fluid and hydrocephalus、Hemodynamic Monitoring and Therapy

BACKGROUND: The optimal velocity encoding limit (VENC) in phase contrast MRI is subject-specific because it depends on peak flow rate and the presence of flow jets. Currently, VENC is set manually with limited prior knowledge of the peak velocity. Setting the correct VENC might improve measurement precision or shorten scan times. PURPOSE: To evaluate a workflow for autonomous selection of the optimal VENC without technologist interaction. STUDY TYPE: Prospective and retrospective. POPULATION: The retrospective cohort included 254 scans from 113 patients (47 ± 14 years, 58 female) and 18 healthy volunteers (34 ± 15 years, 10 female). The prospective cohort included 5 patients with abnormal flow (47 ± 19 years, 2 female) and 10 healthy volunteers (28 ± 7 years, 6 female). FIELD STRENGTH/SEQUENCE: 1.5 T, 0.55 T; Cartesian gradient echo phase-contrast sequence. ASSESSMENT: A workflow has been designed to autonomously estimate and prescribe the optimal VENC. A 30s free-breathing calibration scan was followed by automatic estimation of the maximum velocity (Vmax) in < 6 s. The calculated optimal VENC was then automatically applied in the subsequent flow measurement without operator intervention. The target VENC:Vmax ratio was 1.1-1.25 according to consensus statements. STATISTICAL TESTS: Shapiro-Wilk test, nonparametric two-sided bootstrap with 90% confidence intervals, Wilcoxon signed-rank test, paired t-test. Holm correction was applied to prespecified pairwise comparisons. p < 0...