AIMC Topic: Catheterization
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A deep learning-driven method for safe and effective ERCP cannulation.
International journal of computer assisted radiology and surgery
Feb 7, 2025
PURPOSE: In recent years, the detection of the duodenal papilla and surgical cannula has become a critical task in computer-assisted endoscopic retrograde cholangiopancreatography (ERCP) cannulation operations. The complex surgical anatomy, coupled w...
Comparative verification of control methodology for robotic interventional neuroradiology procedures.
International journal of computer assisted radiology and surgery
Jul 17, 2023
PURPOSE: The use of robotics is emerging for performing interventional radiology procedures. Robots in interventional radiology are typically controlled using button presses and joystick movements. This study identified how different human-robot inte...
Relating process and outcome metrics for meaningful and interpretable cannulation skill assessment: A machine learning paradigm.
Computer methods and programs in biomedicine
Apr 18, 2023
BACKGROUND AND OBJECTIVES: The quality of healthcare delivery depends directly on the skills of clinicians. For patients on hemodialysis, medical errors or injuries caused during cannulation can lead to adverse outcomes, including potential death. To...
Development of a remote-control system for catheterization capable of high-speed force feedback.
International journal of computer assisted radiology and surgery
Jan 23, 2023
PURPOSE: There is a growing interest in minimally invasive surgery as interventional radiology (IVR), which decreases the burden on a patient. However, occupational exposure is a problem because the treatment is performed using X-ray fluoroscopic ima...
Artificial intelligence-assisted cholangioscopy of malignant biliary strictures: Changing the paradigm?
Gastrointestinal endoscopy
Dec 23, 2022
Position-based dynamics simulator of vessel deformations for path planning in robotic endovascular catheterization.
Medical engineering & physics
Nov 11, 2022
A major challenge during autonomous navigation in endovascular interventions is the complexity of operating in a deformable but constrained workspace with an instrument. Simulation of deformations for it can provide a cost-effective training platform...
Influence of internal jugular vein catheterisation on optic nerve sheath diameter in patients undergoing robot-assisted laparoscopic surgery: a prospective cohort study.
British journal of anaesthesia
Aug 18, 2022
Deep learning-based framework for motion-compensated image fusion in catheterization procedures.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
May 13, 2022
OBJECTIVE: Augmenting X-ray (XR) fluoroscopy with 3D anatomic overlays is an essential technique to improve the guidance of the catheterization procedures. Unfortunately, cardiac and respiratory motion compromises the augmented fluoroscopy. Motion co...
Force and Velocity Based Puncture Detection in Robot Assisted Retinal Vein Cannulation: In-Vivo Study.
IEEE transactions on bio-medical engineering
Feb 21, 2022
OBJECTIVE: Retinal vein cannulation is a technically demanding surgical procedure and its feasibility may rely on using advanced surgical robots equipped with force-sensing microneedles. Reliable detection of the moment of venous puncture is importan...
PixelTopoIS: a pixel-topology-coupled guidewire tip segmentation framework for robot-assisted intervention.
International journal of computer assisted radiology and surgery
Dec 7, 2021
PURPOSE: Existing works showed great performance in pixel-level guidewire segmentation. However, topology-level segmentation has not been fully exploited in these works. Guidewire (tip) endpoint localization and (guidewire) loop detection are typical...
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