Print Email Facebook Twitter Control of Multi-Degree-of-Freedom Catheters in Unknown Environments Title Control of Multi-Degree-of-Freedom Catheters in Unknown Environments: Exploring the Potential of Deep Learning and Augmented Reality Author Wu, D. (TU Delft Medical Instruments & Bio-Inspired Technology) Contributor Dankelman, J. (promotor) Vander Poorten, Emmanuel B. (promotor) Degree granting institution Delft University of TechnologyKatholieke Universiteit Leuven Date 2023-12-13 Abstract Cardiovascular disease is currently one of the biggest threats to health. Specific types of cardiovascular disease include, but are not limited to, coronary artery disease, cardiac valve disorders, or peripheral arterial disease. The current gold standard for managing these conditions incorporates the use of catheters and guidewires for intravascular navigation. Following their insertion into the vascular system, these instruments facilitate a variety of procedures, such as stent placement, recanalization of vessel blockage, and radiofrequency ablation. Compared to more invasive open heart surgery, catheterization represents a minimally invasive approach. This offers several benefits, including smaller incisions, faster postoperative recovery, and improved aesthetic outcomes... Subject robotic catheterdeep learningcontrol, sensingaugmented reality To reference this document use: https://doi.org/10.4233/uuid:21af38b1-ae31-4247-adf2-dcbff8b9ebb1 ISBN 978-94-6384-521-2 Embargo date 2024-05-11 Part of collection Institutional Repository Document type doctoral thesis Rights © 2023 D. Wu Files PDF PhD_Dissertation_upload_v ... _Dec11.pdf 50.91 MB Close viewer /islandora/object/uuid:21af38b1-ae31-4247-adf2-dcbff8b9ebb1/datastream/OBJ/view