Sensor Fusion for Shape Reconstruction Using Electromagnetic Tracking Sensors and Multi-Core Optical Fiber

被引:15
作者
Ha, Xuan Thao [1 ,2 ]
Wu, Di [1 ,3 ]
Ourak, Mouloud [1 ]
Borghesan, Gianni [1 ,4 ]
Menciassi, Arianna [5 ]
Poorten, Emmanuel Vander [1 ]
机构
[1] Katholieke Univ Leuven, Dept Mech Engn, B-3000 Leuven, Belgium
[2] Scuola Super Sant Anna, BioRobot Inst, I-56025 Pontedera, Italy
[3] Delft Univ Technol, Fac 3mE, NL-2628 CD Delft, Netherlands
[4] Flanders Make, B-3920 Lommel, Belgium
[5] Scuola Super Sant Anna, BioRobot Inst, I-56025 Pontedera, Italy
关键词
Surgical robotics; steerable catheters/needles; sensor fusion; shape sensing; optical fiber; electromagnetic tracking; CATHETER; BIPLANE; TIME;
D O I
10.1109/LRA.2023.3280456
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
Optical fiber-based shape sensing is gaining popularity in cardiac catheterization lately. Typically, these procedures are taking place under the guidance of fluoroscopy. However, fluoroscopy has several disadvantages. Thanks to fiber optic shape sensing and Electromagnetic Tracking (EMT), the 3D catheter shape can now be tracked in real-time without the need for fluoroscopy. Traditional optical fiber and EMT-based shape tracking methods have the drawback of the highest shape sensing error at the tip. The information offered by the EMT sensors is used mainly to localize the estimated shape in a fixed coordinate frame. In this letter, a novel approach for tracking the catheter is introduced to address the aforementioned problem. The catheter shape is directly reconstructed in the EMT coordinate frame by approximating the catheter shape by a number of Bezier curves while taking into account the curvatures measured by the optical fiber. Both 2D and 3D shape sensing experiments are conducted. The results of the 3D experiment show that the proposed method reduces the mean shape tracking error by approximately 38% (from 12.1 mm to 5.4 mm for a sensed length of 540 mm long) compared to the traditional method where the same number of sensors are used.
引用
收藏
页码:4076 / 4083
页数:8
相关论文
共 26 条
[1]   Improved FBG-Based Shape Sensing Methods for Vascular Catheterization Treatment [J].
Al-Ahmad, Omar ;
Ourak, Mouloud ;
Van Roosbroeck, Jan ;
Vlekken, Johan ;
Vander Poorten, Emmanuel .
IEEE ROBOTICS AND AUTOMATION LETTERS, 2020, 5 (03) :4687-4694
[2]  
Banchoff T., 2010, Differential Geometry of Curves and Surfaces
[3]  
Cao J, 2009, ICS'09: PROCEEDINGS OF THE 2009 ACM SIGARCH INTERNATIONAL CONFERENCE ON SUPERCOMPUTING, P450
[4]  
Chetverikov D, 2002, INT C PATT RECOG, P545, DOI 10.1109/ICPR.2002.1047997
[5]   Radiation Awareness for Endovascular Abdominal Aortic Aneurysm Repair in the Hybrid Operating Room. An Instant Patient Risk Chart for Daily Practice [J].
de Ruiter, Quirina M. ;
Gijsberts, Crystel M. ;
Hazenberg, Constantijn E. ;
Moll, Frans L. ;
van Herwaarden, Joost A. .
JOURNAL OF ENDOVASCULAR THERAPY, 2017, 24 (03) :425-434
[6]  
Dore A, 2012, IEEE INT C INT ROBOT, P3806, DOI 10.1109/IROS.2012.6386139
[7]   Fiber Optic Shape Sensors: A comprehensive review [J].
Floris, Ignazio ;
Adam, Jose M. ;
Calderon, Pedro A. ;
Sales, Salvador .
OPTICS AND LASERS IN ENGINEERING, 2021, 139
[8]   Twisting measurement and compensation of optical shape sensor based on spun multicore fiber [J].
Floris, Ignazio ;
Madrigal, Javier ;
Sales, Salvador ;
Calderon, Pedro A. ;
Adam, Jose M. .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2020, 140
[9]   Comparative Study on Electromagnetic Tracking and Fiber Bragg Grating-based Catheter Shape Sensing [J].
Ha, Xuan Thao ;
Tamadon, Izadyar ;
Ourak, Mouloud ;
Borghesan, Gianni ;
Menciassi, Arianna ;
Vander Poorten, Emmanuel .
2022 IEEE SENSORS, 2022,
[10]   Shape Sensing of Flexible Robots Based on Deep Learning [J].
Ha, Xuan Thao ;
Wu, Di ;
Ourak, Mouloud ;
Borghesan, Gianni ;
Dankelman, Jenny ;
Menciassi, Arianna ;
Poorten, Emmanuel Vander .
IEEE TRANSACTIONS ON ROBOTICS, 2023, 39 (02) :1580-1593