Shape Tracking and Feedback Control of Cardiac Catheter Using MRI-Guided Robotic Platform—Validation With Pulmonary Vein Isolation Simulator in MRI

Ziyang Dong, Xiaomei Wang, Ge Fang, Zhuoliang He, Justin Di-Lang Ho, Chim-Lee Cheung, Wai Lun Tang, Xiaochen Xie, Liyuan Liang, Hing-Chiu Chang, Chi Keong Ching, Ka-Wai Kwok
2022 IEEE Transactions on robotics  
Cardiac electrophysiology is an effective treatment for atrial fibrillation, in which a long, steerable catheter is inserted into the heart chamber to conduct radio frequency ablation. Magnetic resonance imaging (MRI) can provide enhanced intraoperative monitoring of the ablation progress as well as the localization of catheter position. However, accurate and real-time tracking of the catheter shape and its efficient manipulation under MRI remains challenging. In this article, we designed a
more » ... e tracking system that integrates a multicore fiber Bragg grating (FBG) fiber and tracking coils with a standard cardiac catheter. Both the shape and positional tracking of the bendable section could be achieved. A learning-based modeling method is developed for cardiac catheters, which uses FBG-reconstructed three-dimensional curvatures for model initialization. The proposed modeling method was implemented on an MRI-guided robotic platform to achieve feedback control of a cardiac catheter. The shape tracking performance was experimentally verified, demonstrating 2.33°average error for each sensing segment and 1.53 mm positional accuracy at the catheter Manuscript
doi:10.1109/tro.2022.3154691 fatcat:wtcabmbf7zgt7jeofsa7asqftm