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Development and Evaluation of 3D-Printed Cardiovascular Phantoms for Interventional Planning and Training
Published on: January 18, 2021
3D velocity quantification in the heart: improvements by 3D PC-SSFP
Marijn P Rolf1, Mark B M Hofman, Joost P A Kuijer
1Department of Physics and Medical Technology, ICaR-VU, VU University Medical Center, Amsterdam, the Netherlands. mp.rolf@vumc.nl
Journal of Magnetic Resonance Imaging : JMRI
|October 27, 2009
Summary
A new 3D phase contrast steady-state free precession (PC-SSFP) sequence offers improved blood-myocardium contrast and more reproducible velocity measurements in cardiac imaging compared to the gradient echo (GE) method. This advancement enhances 3D cardiac velocity quantification.
Area of Science:
- Cardiovascular Imaging
- Magnetic Resonance Imaging
- Hemodynamics
Background:
- Accurate 3D velocity quantification in the heart is crucial for diagnosing cardiovascular conditions.
- Current gradient echo (GE) based phase contrast (PC) sequences have limitations in cardiac imaging.
- Steady-state free precession (SSFP) sequences offer potential advantages for cardiac MRI.
Purpose of the Study:
- To evaluate a novel 3D phase contrast steady-state free precession (PC-SSFP) sequence for cardiac velocity quantification.
- To compare the performance of 3D PC-SSFP against the established 3D phase contrast gradient echo (PC-GE) technique.
- To assess improvements in velocity measurements, efficiency, reproducibility, and image quality.
Main Methods:
- A 3D PC-SSFP sequence with 1D velocity encoding was implemented and compared to 3D PC-GE at 1.5T.
- 12 healthy subjects were scanned, with measurements performed at the mitral valve and descending aorta.
- Evaluated parameters included velocity measurements, velocity-to-noise-ratio efficiency (VNR(eff)), observer variability, contrast-to-noise-ratio (CNR), and artifact sensitivity.
Main Results:
- Good correlation of mean and peak velocities was observed between 3D PC-SSFP and 3D PC-GE in the descending aorta.
- At the mitral valve, moderate to good correlation for mean and peak velocities was found, with better reproducibility for 3D PC-SSFP.
- Significant improvement in CNR was noted for 3D PC-SSFP, particularly at end systole, without increased artifact levels.
Conclusions:
- 3D PC-SSFP is a viable and effective technique for cardiac velocity quantification.
- The improved blood-myocardium contrast of 3D PC-SSFP leads to more reproducible velocity measurements.
- This sequence represents a significant advancement for 3D cardiac MRI, especially at 1.5T.

