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Fast and quiet MRI using a swept radiofrequency
Djaudat Idiyatullin1, Curt Corum, Jang-Yeon Park
1Center for Magnetic Resonance Research, Cancer Center and Department of Radiology, University of Minnesota Medical School, 2021 6th Street SE, Minneapolis, MN 55455, USA.
Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|June 20, 2006
Summary
A new fast and quiet magnetic resonance imaging (MRI) method called SWIFT enables imaging of challenging samples like macromolecules. This sweep imaging with Fourier transformation technique offers new possibilities in medicine and materials science.
Area of Science:
- Medical Imaging
- Materials Science
- Physics
Background:
- Conventional magnetic resonance imaging (MRI) faces limitations with samples exhibiting fast transverse relaxation rates.
- Acoustic noise and motion sensitivity are challenges in current MRI techniques.
- Dynamic range requirements can be demanding for signal digitization in traditional MRI.
Purpose of the Study:
- Introduce a novel, fast, and quiet MRI method named SWIFT (sweep imaging with Fourier transformation).
- Explore new imaging opportunities in medicine and materials science.
- Address limitations of conventional MRI regarding sample types and acquisition challenges.
Main Methods:
- Utilizes a swept radiofrequency excitation of nuclear spins.
- Acquires time-domain signals in a time-shared manner with minimal delay post-excitation.
- Employs incrementally stepped field gradients for spatial encoding, reducing acoustic noise.
- Frequency-swept excitation distributes signal energy, lowering dynamic range requirements.
Main Results:
- Demonstrates successful imaging of objects with fast transverse relaxation rates, including macromolecules and semi-solids.
- Achieved low acoustic noise due to the stepped gradient method.
- Images of a plastic object and cortical bone were successfully acquired.
- The method shows potential for reduced motion sensitivity.
Conclusions:
- SWIFT MRI offers a promising alternative for imaging challenging samples previously difficult to visualize.
- The technique enhances MRI applicability in medical and materials science research.
- SWIFT's low noise and potential motion insensitivity are significant advantages for in-vivo and materials imaging.