ArticleRadiology2022
Deep Learning Automated Background Phase Error Correction for Abdominopelvic 4D Flow MRI.
Article in Radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Clinical applications of 4D flow magnetic resonance imaging in hepatic vascular disorders: practical biomarkers, protocol design, and translational implementation.Quantitative imaging in medicine and surgery · 2026Review
- Unraveling the causal web of 4 adiposity indices and 92 multi-system outcomes: A body-wide Mendelian randomization study.Medicine · 2026Article
- Deep Learning and Cardiovascular Diseases: An Updated Narrative Review.Journal of clinical medicine · 2026Review
- Simultaneous quantitative evaluation of both iliac arteries and veins via accelerated four-dimensional flow in healthy controls and patients with deep vein thrombosis: a pilot study.Quantitative imaging in medicine and surgery · 2026Article
- Improved prostate diffusion imaging using deep learning denoising and phase correction with ultra-high-density coil array.Radiology advances · 2026Article
- Beyond VI-RADS Uncertainty: Leveraging Spatiotemporal DCE-MRI to Predict Bladder Cancer Muscle Invasion.Bioengineering (Basel, Switzerland) · 2025Article
- A Fully Automated Analysis Pipeline for 4D Flow MRI in the Aorta.Bioengineering (Basel, Switzerland) · 2025Article
- Present and Future Innovations in AI and Cardiac MRI.Radiology · 2024Review
- Deep learning phase error correction for cerebrovascular 4D flow MRI.Scientific reports · 2023Article
- Deep Learning Synthetic Strain: Quantitative Assessment of Regional Myocardial Wall Motion at MRI.Radiology. Cardiothoracic imaging · 2023Article
- Accelerated 4D-flow MRI with 3-point encoding enabled by machine learning.Magnetic resonance in medicine · 2023Article
- An artificial intelligence-based platform for automatically estimating time-averaged wall shear stress in the ascending aorta.European heart journal. Digital health · 2022Article
- 4D Flow MRI in the portal venous system: imaging and analysis methods, and clinical applications.La Radiologia medica · 2022Review
- Advances in machine learning applications for cardiovascular 4D flow MRI.Frontiers in cardiovascular medicine · 2022Review
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8 authors.
Funding
Abstract
Background Four-dimensional (4D) flow MRI has the potential to provide hemodynamic insights for a variety of abdominopelvic vascular diseases, but its clinical utility is currently impaired by background phase error, which can be challenging to correct. Purpose To assess the feasibility of using deep learning to automatically perform image-based background phase error correction in 4D flow MRI and to compare its effectiveness relative to manual image-based correction. Materials and Methods A convenience sample of 139 abdominopelvic 4D flow MRI acquisitions performed between January 2016 and July 2020 was retrospectively collected. Manual phase error correction was performed using dedicated imaging software and served as the reference standard. After reserving 40 examinations for testing, the remaining examinations were randomly divided into training (86% [85 of 99]) and validation (14% [14 of 99]) data sets to train a multichannel three-dimensional U-Net convolutional neural network. Flow measurements were obtained for the infrarenal aorta, common iliac arteries, common iliac veins, and inferior vena cava. Statistical analyses included Pearson correlation, Bland-Altman analysis, and
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