TY - GEN
T1 - Intraoperative 3D Shape Estimation of Magnetic Soft Guidewire
AU - Zhao, Yiting
AU - Shi, Liwei
AU - Wei, Wei
AU - Xiao, Nan
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - This paper introduces a 3D shape reconstruction technique for interventional devices in endovascular surgery, utilizing a flexible magnetic tip guidewire that preserves the fundamental attributes of standard guidewires. We developed a model that correlates the magnetic tip's shape with the surrounding magnetic field distribution to estimate the shape through the magnetic field. The inherently nonlinear relationship between the magnetic field distribution and the shape of the magnetic guidewire presents challenges for direct shape estimation. To address this, we incorporated image and physical constraints to streamline the estimation process. This method shows high accuracy and stability in shape estimation, with root mean square error (RMSE) and Hausdorff distance (HD) both below 1 mm, which is better than other existing estimation methods. Notably, the interventional guidewire requires no embedded sensors or wiring, and the fluoroscopic images used are standard in clinical practice. The reconstruction process is non-disruptive to clinical procedures, suggesting broad applicability in vascular interventional navigation.
AB - This paper introduces a 3D shape reconstruction technique for interventional devices in endovascular surgery, utilizing a flexible magnetic tip guidewire that preserves the fundamental attributes of standard guidewires. We developed a model that correlates the magnetic tip's shape with the surrounding magnetic field distribution to estimate the shape through the magnetic field. The inherently nonlinear relationship between the magnetic field distribution and the shape of the magnetic guidewire presents challenges for direct shape estimation. To address this, we incorporated image and physical constraints to streamline the estimation process. This method shows high accuracy and stability in shape estimation, with root mean square error (RMSE) and Hausdorff distance (HD) both below 1 mm, which is better than other existing estimation methods. Notably, the interventional guidewire requires no embedded sensors or wiring, and the fluoroscopic images used are standard in clinical practice. The reconstruction process is non-disruptive to clinical procedures, suggesting broad applicability in vascular interventional navigation.
UR - https://www.scopus.com/pages/publications/105016642995
U2 - 10.1109/ICRA55743.2025.11128736
DO - 10.1109/ICRA55743.2025.11128736
M3 - Conference contribution
AN - SCOPUS:105016642995
T3 - Proceedings - IEEE International Conference on Robotics and Automation
SP - 10674
EP - 10680
BT - 2025 IEEE International Conference on Robotics and Automation, ICRA 2025
A2 - Ott, Christian
A2 - Admoni, Henny
A2 - Behnke, Sven
A2 - Bogdan, Stjepan
A2 - Bolopion, Aude
A2 - Choi, Youngjin
A2 - Ficuciello, Fanny
A2 - Gans, Nicholas
A2 - Gosselin, Clement
A2 - Harada, Kensuke
A2 - Kayacan, Erdal
A2 - Kim, H. Jin
A2 - Leutenegger, Stefan
A2 - Liu, Zhe
A2 - Maiolino, Perla
A2 - Marques, Lino
A2 - Matsubara, Takamitsu
A2 - Mavromatti, Anastasia
A2 - Minor, Mark
A2 - O'Kane, Jason
A2 - Park, Hae Won
A2 - Park, Hae-Won
A2 - Rekleitis, Ioannis
A2 - Renda, Federico
A2 - Ricci, Elisa
A2 - Riek, Laurel D.
A2 - Sabattini, Lorenzo
A2 - Shen, Shaojie
A2 - Sun, Yu
A2 - Wieber, Pierre-Brice
A2 - Yamane, Katsu
A2 - Yu, Jingjin
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2025 IEEE International Conference on Robotics and Automation, ICRA 2025
Y2 - 19 May 2025 through 23 May 2025
ER -