Control of Multi-Degree-of-Freedom Catheters in Unknown Environments: Exploring the Potential of Deep Learning and Augmented Reality

Research output: ThesisDissertation (TU Delft)

32 Downloads (Pure)

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...
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • Delft University of Technology
  • Katholieke Universiteit Leuven
Supervisors/Advisors
  • Dankelman, J., Supervisor
  • Vander Poorten, Emmanuel B., Supervisor, External person
Award date13 Dec 2023
Print ISBNs978-94-6384-521-2
DOIs
Publication statusPublished - 2023

Keywords

  • robotic catheter
  • deep learning
  • control, sensing
  • augmented reality

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