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STAR-HASTE: perfusion imaging without magnetic susceptibility artifact
1Department of Radiology, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA.
Magnetic Resonance in Medicine
|October 27, 1997
Summary
A new magnetic resonance imaging technique, STAR-HASTE, offers improved perfusion imaging by reducing artifacts common in echo-planar imaging methods. This novel approach provides comparable functional brain imaging data without distortion.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- Medical Imaging
- Neuroimaging
Background:
- Pulsed arterial spin labeling (ASL) is a non-invasive MRI technique for perfusion imaging.
- Echo-planar imaging (EPI) is commonly used for ASL but is prone to artifacts.
- Existing ASL methods like EPISTAR utilize Signal Targeting with Alternating Radiofrequency (STAR) but rely on EPI acquisition.
Purpose of the Study:
- To introduce and evaluate a novel ASL perfusion imaging technique, STAR-HASTE.
- To assess the performance of STAR-HASTE in reducing artifacts compared to EPI-based methods.
- To demonstrate the feasibility of STAR-HASTE for functional brain imaging.
Main Methods:
- Developed STAR-HASTE, combining STAR technique for blood labeling with Half-Fourier Single-shot Turbo Spin-Echo (HASTE) for data acquisition.
- Acquired perfusion imaging data using STAR-HASTE.
- Compared STAR-HASTE imaging with EPISTAR in functional brain imaging studies.
- Evaluated the presence of artifacts such as magnetic susceptibility and image distortion.
Main Results:
- STAR-HASTE successfully performed perfusion imaging with significantly reduced artifacts compared to EPI-based methods.
- The technique eliminated common EPI artifacts, including magnetic susceptibility and image distortion.
- Functional brain imaging results obtained with STAR-HASTE were comparable to those from EPISTAR.
- STAR-HASTE can be implemented on MR systems lacking EPI capabilities.
Conclusions:
- STAR-HASTE is a novel and effective ASL technique for perfusion imaging.
- It overcomes limitations of EPI-based methods by reducing artifacts and image distortion.
- This technique offers a viable alternative for functional brain imaging and can be widely adopted.