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Three-dimensional first-pass myocardial perfusion MRI using a stack-of-spirals acquisition
Taehoon Shin1, Krishna S Nayak, Juan M Santos
1Department of Electrical Engineering, Stanford University, Stanford, California 94305, USA. shinage@gmail.com
Magnetic Resonance in Medicine
|May 5, 2012
Summary
This study shows rapid 3D cardiac MRI perfusion imaging is feasible using stack-of-spirals and k-t SENSE. This technique offers high resolution for precise cardiac defect sizing and improved perfusion contrast.
Area of Science:
- Cardiovascular imaging
- Magnetic resonance imaging
- Medical physics
Background:
- Three-dimensional (3D) cardiac magnetic resonance (MR) perfusion imaging shows potential for accurate defect sizing and high perfusion contrast.
- Traditional 3D MR imaging faces challenges with large-dimensional encoding, requiring high acceleration factors or reduced spatial resolution.
- This limits its clinical application, despite its promise.
Purpose of the Study:
- To demonstrate the feasibility of rapid 3D cardiac MR perfusion imaging.
- To overcome limitations of traditional 3D imaging techniques.
- To achieve whole-heart coverage with high in-plane resolution.
Main Methods:
- Utilized a stack-of-spirals acquisition accelerated by non-Cartesian k-t SENSE.
- Employed an optimal undersampling pattern for signal separation.
- Optimized flip angle and saturation recovery time for transient data acquisition.
- Compared the 3D method with standard 2D fast Fourier Transform (2DFT) imaging in cardiac patients.
Main Results:
- Achieved entire myocardial coverage with 2.4 mm in-plane resolution.
- Demonstrated strong correlation between 3D and 2DFT time intensity curves (mean r=0.94, SD=0.06).
- Found a significant linear correlation between upslope values from both methods (r=0.78, P<0.05).
Conclusions:
- Rapid 3D cardiac MR perfusion imaging using stack-of-spirals and k-t SENSE is feasible.
- The proposed method provides comparable results to standard 2DFT techniques.
- This technique holds promise for improved cardiac imaging and diagnosis.
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