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Updated: Oct 5, 2025

Quantitative Magnetic Resonance Imaging of Skeletal Muscle Disease
Published on: December 18, 2016
Individualized and accurate SAR characterization method based on equivalent circuit model for MRI system
Weiman Jiang1, Fan Yang1, Kun Wang1
1HC IMG-MR-Engineering Beijing, GE Hangwei Medical Systems, Co., Ltd., Beijing, People's Republic of China.
This study introduces an accurate, patient-specific method for characterizing radiofrequency (RF) heating in MRI scans using an equivalent circuit model, simplifying whole-body specific absorption rate (SAR) measurements.
Area of Science:
- Medical Imaging Physics
- Biomedical Engineering
- Electromagnetics
Background:
- Radiofrequency (RF) heating during Magnetic Resonance Imaging (MRI) poses a safety risk to patients.
- Accurate characterization of whole-body specific absorption rate (SAR) is crucial for patient safety.
- Existing methods, like the standard pulse energy method, can be complex to implement.
Purpose of the Study:
- To develop an accurate and patient-specific whole-body SAR characterization method for MRI.
- To propose an equivalent circuit model approach that simplifies SAR assessment.
- To offer a method easily implementable in clinical MRI scanners.
Main Methods:
- An equivalent parallel circuit model was used to represent power distribution between the transmit coil and the subject.
- Coil and subject resistances were determined using frequency response functions of the reflection coefficient.
- Subject absorbed power was measured in phantoms and volunteers and compared to the standard flux loop method.
Main Results:
- The equivalent circuit model accurately fitted transmit coil parameters under various conditions.
- Whole-body SAR was measured in volunteers, showing good agreement with the flux loop method.
- The proposed method achieved high accuracy with low RMS (3.77%) and maximum (9.47%) errors.
Conclusions:
- The equivalent circuit model provides an individualized and accurate method for SAR characterization.
- This approach simplifies SAR assessment for both clinical applications and research.
- The method offers a practical solution with moderate implementation complexity for MRI safety.
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