Advancements in Autonomous Navigation: Utilizing Transformer Models for Catheter Tip Localization in Fluoroscopy

1

Mechanical thrombectomy is crucial for treating strokes but faces challenges like declining efficacy and risks of complications.
2

AI-based autonomous navigation in mechanical thrombectomy aims to improve device tracking and tip localization under realistic clinical conditions.
3

The CathAction dataset, with 500,000 annotated frames, facilitates advanced tracking methods for catheters and guidewires in various imaging scenarios.
4

Modern segmentation architectures integrated into tracking pipelines show improved performance in real-time catheter tip localization.
5

The proposed method demonstrates feasibility across in vitro and in vivo settings, enhancing the potential for AI-driven endovascular navigation systems.

Int. Journal Of Computer Assisted Radiology And Surgery (Springer)

by Harry Robertshaw, Yanghe Hao, Weiyuan Deng, Benjamin Jackson, S. M. Hadi Sadati, Nikola Fischer, Tom Vercauteren, Alejandro Granados, Thomas C. Booth
April 27, 2026

1