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Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
Published on: January 7, 2021
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Automated hemodynamic assessment for cranial 4D flow MRI
Grant S Roberts1, Carson A Hoffman1, Leonardo A Rivera-Rivera2
1Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, 1111 Highland Avenue #1005, Madison, WI 53705, USA.
Magnetic Resonance Imaging
|December 29, 2022
Summary
A new quantitative velocity tool (QVT) automates cranial 4D flow MRI analysis, improving accuracy and reducing processing time. This robust method enhances repeatability for hemodynamic quantification.
Area of Science:
- Medical Imaging
- Biomedical Engineering
- Cardiovascular Imaging
Background:
- Cranial 4D flow MRI post-processing is manual, time-consuming, and lacks repeatability.
- Existing centerline processing schemes (CPS) using k-means clustering show limitations in segmentation quality.
Purpose of the Study:
- Develop a robust quantitative velocity tool (QVT) for cranial 4D flow MRI.
- Improve segmentation quality and automate hemodynamic quantification using threshold-based techniques.
Main Methods:
- Developed QVT with interactive 3D display for vessel selection and automated analysis.
- Compared QVT and CPS in vitro (flow phantom) and in vivo (10 healthy participants).
- Validated segmentations against CT and manual segmentation; compared flow rates with ultrasound.
Main Results:
- QVT and CPS showed strong correlation with ground-truth vessel areas, but CPS underestimated areas.
- QVT demonstrated strong correlation with ultrasound flow measurements (slope=0.98, r=0.96).
- QVT significantly reduced post-processing time by ~10 minutes with excellent interobserver agreement.
Conclusions:
- QVT offers an efficient, robust, and repeatable method for cranial 4D flow MRI analysis.
- Automated post-processing and intuitive visualization enhance hemodynamic quantification.
- The QVT software is freely available for research use.

