Toward Fluoroscopy Guided Robotic Needle Insertion for Radio Frequency Ablation

• Published in: Computer animation and virtual worlds Vol. 36; no. 3
• Main Authors: Ha, Thuc‐Long, Verde, Juan, Bert, Julien, Courtecuisse, Hadrien
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.05.2025; Wiley Subscription Services, Inc; Wiley
• Subjects: 2D/3D registration; Ablation; Actuation; Bioengineering; Biomechanics; Computer Science; Finite element method; flexible needle steering; Fluoroscopic imaging; Human health and pathology; Hépatology and Gastroenterology; Image acquisition; Imaging; Insertion; Life Sciences; Liver cancer; medical robotics; Modeling and Simulation; Radio frequency; Registration; Robotics; simulation; Surgery; Tumors; 2D/3D registration; finite element method; flexible needle steering; medical robotics; simulation
• DOI: 10.1002/cav.70025
• ISSN: 1546-4261

ABSTRACT This article presents a fluoroscopy image‐based registration method along with a comprehensive protocol for robotic needle insertion in radiofrequency ablation (RFA) to treat liver cancer. The proposed method uses real‐time fluoroscopic images acquired from a C‐ARM system and integrates an inverse finite element (FE) simulation to compute robotic commands for accurate and adaptive needle steering. The registration procedure is fully automated and involves the injection of multiple radiopaque markers into the liver, enabling precise anatomical registration and targeted tumor localization. A key challenge addressed in this work is the integration of this image‐based registration with the inverse biomechanical simulation used to guide the robot during insertion. We describe how registration constraints can be mapped onto the surface of the biomechanical model to ensure consistent alignment between image data and robotic actuation. Designed to be adaptable to varying levels of radiologist expertise and applicable across a wide range of tumor locations, this method provides a robust and versatile solution for improving the accuracy and safety of minimally invasive liver cancer treatments. Clinical workflow of the Fluoroscopy guided Robotic Needle Insertion for Radio Frequency Ablation.