Treatment Planning and Image Guidance for Radiofrequency Ablation of Large Tumors

This article addresses the two key challenges in computer-assisted percutaneous tumor ablation: planning multiple overlapping ablations for large tumors while avoiding critical structures, and executing the prescribed plan. Toward semiautomatic treatment planning for image-guided surgical interventi...

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Bibliographic Details
Published in:IEEE journal of biomedical and health informatics 2014-05, Vol.18 (3), p.920-928
Main Authors: Hongliang Ren, Campos-Nanez, Enrique, Yaniv, Ziv, Banovac, Filip, Abeledo, Hernan, Hata, Nobuhiko, Cleary, Kevin
Format: Article
Language:English
Subjects:
Animals
Catheter Ablation - methods
Computed tomography
Humans
Image guidance
Models, Biological
Neoplasms - surgery
open source
Optimization
Phantoms, Imaging
Planning
Probes
radiofrequency ablation (RFA)
Surgery
Surgery, Computer-Assisted - instrumentation
Surgery, Computer-Assisted - methods
Swine
Tomography, X-Ray Computed
Torso - diagnostic imaging
Torso - surgery
Trajectory
treatment planning
Tumors
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Summary:This article addresses the two key challenges in computer-assisted percutaneous tumor ablation: planning multiple overlapping ablations for large tumors while avoiding critical structures, and executing the prescribed plan. Toward semiautomatic treatment planning for image-guided surgical interventions, we develop a systematic approach to the needle-based ablation placement task, ranging from preoperative planning algorithms to an intraoperative execution platform. The planning system incorporates clinical constraints on ablations and trajectories using a multiple objective optimization formulation, which consists of optimal path selection and ablation coverage optimization based on integer programming. The system implementation is presented and validated in both phantom and animal studies. The presented system can potentially be further extended for other ablation techniques such as cryotherapy.
ISSN:2168-2194
2168-2208
DOI:10.1109/JBHI.2013.2287202