Intraoperative 3D Shape Estimation of Magnetic Soft Guidewire

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publication2025 IEEE International Conference on Robotics and Automation, ICRA 2025
EditorsChristian Ott, Henny Admoni, Sven Behnke, Stjepan Bogdan, Aude Bolopion, Youngjin Choi, Fanny Ficuciello, Nicholas Gans, Clement Gosselin, Kensuke Harada, Erdal Kayacan, H. Jin Kim, Stefan Leutenegger, Zhe Liu, Perla Maiolino, Lino Marques, Takamitsu Matsubara, Anastasia Mavromatti, Mark Minor, Jason O'Kane, Hae Won Park, Hae-Won Park, Ioannis Rekleitis, Federico Renda, Elisa Ricci, Laurel D. Riek, Lorenzo Sabattini, Shaojie Shen, Yu Sun, Pierre-Brice Wieber, Katsu Yamane, Jingjin Yu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages10674-10680
Number of pages7
ISBN (Electronic)9798331541392
DOIs
Publication statusPublished - 2025
Externally publishedYes
Event2025 IEEE International Conference on Robotics and Automation, ICRA 2025 - Atlanta, United States
Duration: 19 May 202523 May 2025

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Conference

Conference2025 IEEE International Conference on Robotics and Automation, ICRA 2025
Country/TerritoryUnited States
CityAtlanta
Period19/05/2523/05/25

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