Motion-robust, multi-slice, real-time MR thermometry for MR-guided thermal therapy in abdominal organs

Abstract

Purpose

To develop an effective and practical reconstruction pipeline to achieve motion-robust, multi-slice, real-time MR thermometry for monitoring thermal therapy in abdominal organs.

Methods

The application includes a fast spiral magnetic resonance imaging (MRI) pulse sequence and a real-time reconstruction pipeline based on multi-baseline proton resonance frequency shift (PRFS) method with visualization of temperature imaging. The pipeline supports multi-slice acquisition with minimal reconstruction lag. Simulations with a virtual motion phantom were performed to investigate the influence of the number of baselines and respiratory rate on the accuracy of temperature measurement. Phantom experiments with ultrasound heating were performed using a custom-made motion phantom to evaluate the performance of the pipeline. Lastly, experiments in healthy volunteers (N = 2) without heating were performed to evaluate the accuracy and stability of MR thermometry in abdominal organs (liver and kidney).

Results

The multi-baseline approach with greater than 25 baselines resulted in minimal temperature errors in the simulation. Phantom experiments demonstrated a 713 ms update time for 3-slice acquisitions. Temperature maps with 30 baselines showed clear temperature distributions caused by ultrasound heating in the respiratory phantom. Finally, the pipeline was evaluated with physiologic motions in healthy volunteers without heating, which demonstrated the accuracy (root mean square error [RMSE]) of 1.23$\pm$0.18 °C (liver) and 1.21$\pm$0.17 °C (kidney) and precision of 1.13$\pm$0.11 °C (liver) and 1.16$\pm$0.15 °C (kidney) using 32 baselines.

Conclusions

The proposed real-time acquisition and reconstruction pipeline allows motion-robust, multi-slice, real-time temperature monitoring within the abdomen during free breathing.

Keywords:

• MR thermometry
• abdominal organ
• motion
• real-time MR imaging
• MR-guided thermal therapy

Acknowledgments

The authors would like to thank Dr. William R. Overall at HeartVista, Inc. for assistance with developing the techniques.

Disclosure statement

The authors have no relevant conflicts of interest to declare.

Additional information

Funding

This study was funded by grants: [NIH R21EB026018, R01EB025990 and R21CA230120]. This study was supported by National Cancer Institute; National Institute of Biomedical Imaging and Bioengineering.