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Published on: October 24, 2018
SSFP-based MR thermometry
Vaishali Paliwal1, AbdEl-Monem El-Sharkawy, Xiangying Du
1Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21205, USA.
Abstract:
Of the various techniques employed to quantify temperature changes by MR, proton resonance frequency (PRF) shift-based phase-difference imaging (PDI) is the most accurate and widely used. However, PDI is associated with various artifacts. Motivated by these limitations, we developed a new method to monitor temperature changes by MRI using the balanced steady-state free precession (balanced-SSFP) pulse sequence. Magnitude images obtained with the SSFP pulse sequence were used to find the PRF shift, which is proportional to temperature change. Spatiotemporal temperature maps were successfully reconstructed with this technique in gel phantom experiments and a rabbit model. The results show that the balanced-SSFP-based method is a promising new technique for monitoring temperature.
Insights
A new MRI method using balanced steady-state free precession (balanced-SSFP) effectively monitors temperature changes. This technique shows promise for accurate, artifact-reduced temperature mapping in various applications.
Area of Science:
- Magnetic Resonance Imaging (MRI)
- Biomedical Engineering
- Therapeutic Monitoring
Background:
- Proton resonance frequency (PRF) shift-based phase-difference imaging (PDI) is the standard for MR thermometry.
- PDI is accurate but susceptible to artifacts, limiting its clinical utility.
- Developing artifact-resistant MR thermometry methods is crucial for precise temperature monitoring.
Purpose of the Study:
- To introduce and evaluate a novel MRI technique for temperature monitoring using balanced steady-state free precession (balanced-SSFP).
- To assess the feasibility of the balanced-SSFP method for spatiotemporal temperature mapping.
- To overcome limitations associated with conventional PDI methods.
Main Methods:
- Utilized balanced steady-state free precession (balanced-SSFP) pulse sequence for MRI data acquisition.
- Employed magnitude images from the SSFP sequence to determine the proton resonance frequency (PRF) shift.
- Reconstructed spatiotemporal temperature maps based on the calculated PRF shift.
Main Results:
- Successfully reconstructed spatiotemporal temperature maps using the balanced-SSFP method.
- Demonstrated the technique's efficacy in both gel phantom experiments and a rabbit model.
- Observed that the PRF shift, derived from SSFP magnitude images, is proportional to temperature changes.
Conclusions:
- The balanced-SSFP-based MRI technique is a viable and promising new method for temperature monitoring.
- This approach offers potential for improved MR thermometry with reduced artifacts compared to PDI.
- Further research is warranted to explore the full clinical potential of balanced-SSFP MR thermometry.
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