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Frequency scouting for cardiac imaging with SSFP at 3 Tesla
Janaka Wansapura1, Robert Fleck, Eric Crotty
1Department of Radiology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave., Cincinnati, OH 45229, USA. janaka.wansapura@cchmc.org
Pediatric Radiology
|July 11, 2006
Summary
Steady-state free precession (SSFP) cine MRI is prone to off-resonance artifacts. A new frequency adjustment technique effectively mitigated these artifacts in pediatric cardiac imaging at 3 Tesla, preserving diagnostic quality.
Area of Science:
- Cardiovascular Magnetic Resonance Imaging
- Medical Physics
- Pediatric Cardiology
Background:
- Steady-state free precession (SSFP) cine MRI is widely used for cardiac imaging.
- Off-resonance artifacts are a significant limitation of SSFP, particularly at 3 Tesla.
- These artifacts can compromise the accurate assessment of cardiac structures, including the left ventricle.
Purpose of the Study:
- To review the types and prevalence of off-resonance artifacts in the left ventricle using SSFP cine MRI at 3 Tesla.
- To describe and evaluate a technique for mitigating these artifacts.
- To assess the impact of artifacts on myocardial boundary detection.
Main Methods:
- SSFP cine imaging was performed on 16 healthy children at 3 Tesla.
- Synthesizer frequency was optimized by acquiring a series of SSFP images with varying frequency shifts.
- 136 short-axis slices were analyzed for the presence and severity of off-resonance artifacts.
Main Results:
- Off-resonance artifacts, including dark bands and flow artifacts, were prevalent in the apex region.
- Despite artifact presence, only 3.6% of slices showed artifacts detrimental to myocardial boundary detection.
- The frequency adjustment technique successfully suppressed artifacts in most cases.
Conclusions:
- Off-resonance artifacts are common in pediatric SSFP cine MRI at 3 Tesla, particularly in the apex.
- The implemented frequency adjustment technique is effective in mitigating these artifacts.
- This method provides a fast and simple solution to improve image quality and diagnostic accuracy in SSFP imaging at 3 Tesla.