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Updated: Dec 27, 2025

04:22
Application of Laparoscopic Hepatectomy Combined with Intraoperative Microwave Ablation in Colorectal Cancer Liver Metastasis
Published on: March 3, 2023
773
Improved MR-thermometry during hepatic microwave ablation by correcting for intermittent electromagnetic interference
Aiming Lu1, David A Woodrum1, Joel P Felmlee1
1Department of Radiology, Mayo Clinic, Rochester, MN 55905, United States.
Summary
This study introduces a new method to improve MRI thermometry during microwave ablation (MWA) for liver cancer. By correcting electromagnetic interference, the technique enhances real-time monitoring and visualization of the treatment zone.
Area of Science:
- Medical Imaging
- Interventional Radiology
- Oncology
Background:
- Minimally invasive treatments like MRI-guided microwave ablation (MWA) are used for localized cancer.
- Real-time monitoring via MR thermometry is crucial for MWA procedures.
- Electromagnetic interference (EMI) during MWA degrades MRI image quality, hindering accurate thermometry.
Purpose of the Study:
- To develop and evaluate a novel method for correcting EMI-contaminated MR thermometry images during clinical hepatic MWA.
- To improve the accuracy and reliability of MR thermometry for enhanced visualization of the treatment zone.
Main Methods:
- A new EMI correction technique was developed and applied to MR thermometry data from four clinical hepatic MWA treatments.
- MR thermometry data acquisition was synchronized to the respiratory cycle to minimize motion artifacts.
- EMI was identified and corrected using adjacent, uncontaminated k-space data frames.
Main Results:
- The EMI correction method substantially improved temperature and thermal damage maps.
- Enhanced visualization of the treatment zone was achieved.
- Ex vivo studies confirmed that the correction method introduced minimal errors to temperature and thermal damage maps.
Conclusions:
- The novel EMI correction approach effectively improves MR thermometry during MR-guided hepatic MWA.
- This technique enhances the accuracy of real-time monitoring and visualization, leading to better treatment assessment.
- The method shows promise for improving the clinical application of MWA for liver cancer.

