TY - JOUR
T1 - Feature-Based Electromagnetic Tracking Registration Using Bioelectric Sensing
AU - Ramadani, Ardit
AU - Maier, Heiko
AU - Bourier, Felix
AU - Meierhofer, Christian
AU - Ewert, Peter
AU - Schunkert, Heribert
AU - Navab, Nassir
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2023/6/1
Y1 - 2023/6/1
N2 - Catheter tracking is essential during minimally invasive endovascular procedures, and Electromagnetic (EM) tracking is a widely used technology for this purpose. When preoperative patient images are available, they can be used to guide EM-tracked interventions. However, a registration step between preoperative images and intraoperative EM tracking space is usually required. Most existing solutions for this registration process require manual interactions, which can add additional steps to the workflow. In this letter, a novel automatic feature-based registration method is proposed, based on electric sensing of vascular geometry by the catheter, also known as Bioelectric sensing. The technique employs the Bioelectric sensing capabilities of the catheter to identify vascular features, such as bifurcations, aneurysms, or stenosis. The known EM position of these features is then utilized to register the EM tracking space and the preoperative images. The registration is refined using iterative closest point (ICP) registration algorithms. Unlike existing solutions, the proposed method does not require external markers, interventional imaging, or additional surgeon actions, and hence does not impact the interventional workflow.
AB - Catheter tracking is essential during minimally invasive endovascular procedures, and Electromagnetic (EM) tracking is a widely used technology for this purpose. When preoperative patient images are available, they can be used to guide EM-tracked interventions. However, a registration step between preoperative images and intraoperative EM tracking space is usually required. Most existing solutions for this registration process require manual interactions, which can add additional steps to the workflow. In this letter, a novel automatic feature-based registration method is proposed, based on electric sensing of vascular geometry by the catheter, also known as Bioelectric sensing. The technique employs the Bioelectric sensing capabilities of the catheter to identify vascular features, such as bifurcations, aneurysms, or stenosis. The known EM position of these features is then utilized to register the EM tracking space and the preoperative images. The registration is refined using iterative closest point (ICP) registration algorithms. Unlike existing solutions, the proposed method does not require external markers, interventional imaging, or additional surgeon actions, and hence does not impact the interventional workflow.
KW - EM tracking registration
KW - Localization
KW - bioelectric sensing
KW - catheter tracking
KW - foundations of automation
UR - http://www.scopus.com/inward/record.url?scp=85151509982&partnerID=8YFLogxK
U2 - 10.1109/LRA.2023.3262988
DO - 10.1109/LRA.2023.3262988
M3 - Article
AN - SCOPUS:85151509982
SN - 2377-3766
VL - 8
SP - 3286
EP - 3293
JO - IEEE Robotics and Automation Letters
JF - IEEE Robotics and Automation Letters
IS - 6
ER -