Journal Articles
HEAT: High-Efficiency simulation for thermal Ablation Therapy
Jonas Mehtali, Juan Verde, Caroline Essert
International Journal of Computer Assisted Radiology and Surgery (IJCARS), 2025
Abstract: Percutaneous thermal ablation is increasingly popular but still suffers from a complex preoperative planning, especially regarding the prediction of the ablation zone. We propose HEAT (High-Efficiency simulation for thermal Ablation Therapy), a novel GPU-accelerated simulation framework for thermal ablation that enables real-time planning.
Conference Papers
C-NCA: Chained Neural Cellular Automata for Fast and Accurate Thermal Ablation Estimation
Jonas Mehtali, Juan Verde, Caroline Essert
Medical Image Computing and Computer Assisted Interventions (MICCAI 2025), Seoul, Korea, September 28 - October 2, 2025
Abstract: We introduce an approach to estimate heat-induced tissue death in percutaneous thermal ablation based on a chained Neural Cellular Automata (NCA) architecture. The model accurately estimates cell death induced by thermal damage with low root mean square error and high speed. With only 12,210 learned parameters, it can compute 25 minutes of treatment at up to 476 fps, making it suitable for interactive simulations.
Cryotrack: Planning and Navigation for Computer Assisted Cryoablation
Henry J. Krumb, Jonas Mehtali, Juan Verde, Anirban Mukhopadhyay, Caroline Essert
Medical Image Computing and Computer Assisted Interventions (MICCAI 2024), Marrakesh, Morocco, October 6-10, 2024 Volume 15006, pp. 99-108
Abstract: Cryoablation is a minimally invasive technique that uses extreme cold to destroy cancerous tumors. However, it remains challenging to plan and navigate during the procedure. We present Cryotrack, a novel planning and navigation system for computer-assisted cryoablation.
Research Interests
- Thermal Ablation Therapy Planning
- Cryoablation Simulation and Navigation
- Medical Image Computing
- Computer-Assisted Interventions
- GPU-Accelerated Simulation
- Image-Guided Surgery