Related Experiment Videos
A comparison of selective saturation and selective echo chemical shift imaging techniques
1Department of Radiology, University of Pennsylvania, Philadelphia 19104-6086.
Magnetic Resonance Imaging
|July 1, 1988
Summary
Selective fat and water imaging in vivo was compared using CHESS and SECSI methods. SECSI demonstrated superior water suppression, especially when combined with CHESS, offering improved imaging results.
Area of Science:
- Medical Imaging
- Magnetic Resonance Imaging
Background:
- Chemical shift imaging enables selective visualization of fat and water within biological tissues.
- Accurate B0 field homogeneity is crucial for resolving distinct spectral lines of methylene (fat) and water.
- Both CHESS and SECSI techniques rely on precise B1 radiofrequency field calibration and homogeneity.
Purpose of the Study:
- To comparatively evaluate two chemical shift imaging methods: CHESS and SECSI.
- To analyze the B1 field error sensitivity of each method for spectral line suppression.
- To determine the optimal method for in vivo fat and water selective imaging.
Main Methods:
- CHESS (Chemical Shift Selective) imaging utilizes a selective pulse to saturate the unwanted spectral line.
- SECSI (Simultaneous).achieved by incorporating a soft 180-degree radiofrequency pulse within a spin echo sequence.
- Theoretical analysis of B1 error impact on spectral line suppression, followed by phantom and in vivo experiments.
Main Results:
- Theoretical analysis indicated B1 errors affect CHESS linearly and SECSI quadratically.
- Phantom experiments confirmed SECSI's non-linear behavior and superior water suppression.
- In vivo experiments with a rabbit model showed SECSI yielding better results than CHESS.
Conclusions:
- SECSI offers more robust spectral line suppression against B1 field inhomogeneities compared to CHESS.
- The combination of CHESS and SECSI techniques provides the best performance for selective fat and water imaging.
- SECSI is a promising method for in vivo chemical shift imaging applications.