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Meso-Scale Particle Image Velocimetry Studies of Neurovascular Flows In Vitro
Published on: December 3, 2018
Accelerated dual-venc 4D flow MRI for neurovascular applications
Susanne Schnell1, Sameer A Ansari1,2, Can Wu1,3
1Department of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA.
This study introduces dual-velocity encoding (dual-venc) 4D flow MRI, enhancing image quality and reducing noise. This technique improves the velocity-to-noise ratio (VNR) for clearer visualization of blood flow dynamics.
Area of Science:
- Medical Imaging
- Cardiovascular Imaging
- Magnetic Resonance Imaging
Background:
- 4D flow MRI is crucial for assessing hemodynamics but faces challenges with velocity-to-noise ratio (VNR) and dynamic velocity range.
- Improving VNR and dynamic range is essential for accurate quantification of blood flow in various clinical applications.
Purpose of the Study:
- To enhance the VNR and dynamic velocity range of 4D flow MRI.
- To develop and validate a dual-velocity encoding (dual-venc) technique combined with k-t GRAPPA acceleration.
Main Methods:
- Developed a dual-venc 4D flow MRI sequence with k-t GRAPPA acceleration, utilizing a shared reference scan and low-/high-venc scans.
- Employed high-venc data to correct aliasing in low-venc data, creating a single dataset with improved VNR.
- Validated the sequence in phantom experiments and applied it to 16 volunteers for intracranial hemodynamics assessment.
Main Results:
- The dual-venc sequence successfully acquired 4D flow MRI data with reduced acquisition time.
- Phantom and volunteer studies demonstrated significantly reduced image noise (51.4% and 54.6% lower, respectively) in dual-venc compared to high-venc.
- In vivo assessments showed improved image quality, including fewer artifacts, enhanced vessel conspicuity, and reduced noise.
Conclusions:
- Dual-venc 4D flow MRI effectively combines the superior VNR of low-venc acquisitions with the ability to capture both low- and high-velocity flows.
- The technique offers improved flow visualization, image quality, and reduced noise in both in vitro and in vivo settings.
- This advancement holds promise for more accurate and reliable hemodynamic assessments.
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