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MR-Cavitation Dynamics Encoded (MR-CaDE) imaging
Dinank Gupta1, Tarana P Kaovasia1, Steven P Allen2
1Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.
Magnetic Resonance in Medicine
|April 8, 2025
Summary
This study developed MR-Cavitation Dynamics Encoded (MR-CaDE) imaging to monitor histotripsy brain treatments. The new method successfully tracked cavitation events, showing its feasibility for real-time therapeutic guidance.
Area of Science:
- Medical Imaging
- Neurosurgery
- Acoustic Physics
Background:
- Histotripsy is a non-invasive mechanical ablation technique using focused ultrasound.
- Monitoring cavitation dynamics is crucial for optimizing histotripsy treatments.
- Existing methods lack the real-time feedback needed for precise brain interventions.
Purpose of the Study:
- To develop and validate MR-Cavitation Dynamics Encoded (MR-CaDE) imaging for dynamic cavitation monitoring.
- To assess the feasibility of MR-CaDE for real-time histotripsy treatment monitoring in the brain.
- To test the technique in an ex-vivo human brain model within a clinical MRI scanner.
Main Methods:
- Modified a Gradient Echo (GRE) pulse sequence with bipolar gradients to create MR-CaDE imaging.
- Monitored histotripsy-induced cavitation in ex-vivo bovine brain tissue using MR-CaDE on a 3T MRI scanner.
- Utilized a 0.5s temporal resolution with a spiral readout and synchronized MR acquisition with histotripsy pulses.
Main Results:
- MR-CaDE successfully visualized cavitation dynamics, showing decreased image magnitude and increased phase with increasing sonications.
- Observed a peak magnitude loss of 50% and a maximum phase increase of 0.64rad.
- Post-histotripsy lesions showed good alignment with MR-CaDE signal changes, with minimal spatial error.
Conclusions:
- Demonstrated the feasibility of the MR-CaDE pulse sequence for monitoring cavitation.
- The developed method shows promise for real-time feedback during histotripsy treatments in the brain.
- MR-CaDE enables dynamic cavitation monitoring, enhancing precision in ultrasound-guided neurosurgery.

