AIMC Topic: Catheters

Clear Filters Showing 1 to 10 of 60 articles

Robust Path Planning via Learning From Demonstrations for Robotic Catheters in Deformable Environments.

IEEE transactions on bio-medical engineering
OBJECTIVE: Navigation through tortuous and deformable vessels using catheters with limited steering capability underscores the need for reliable path planning. State-of-the-art path planners do not fully account for the deformable nature of the envir...

Detection and position evaluation of chest percutaneous drainage catheter on chest radiographs using deep learning.

PloS one
PURPOSE: This study aimed to develop an algorithm for the automatic detecting chest percutaneous catheter drainage (PCD) and evaluating catheter positions on chest radiographs using deep learning.

Rapid multi-catheter segmentation for magnetic resonance image-guided catheter-based interventions.

Medical physics
BACKGROUND: Magnetic resonance imaging (MRI) is the gold standard for delineating cancerous lesions in soft tissue. Catheter-based interventions require the accurate placement of multiple long, flexible catheters at the target site. The manual segmen...

Sensor-Based Measurement Method to Support the Assessment of Robot-Assisted Radiofrequency Ablation.

Sensors (Basel, Switzerland)
Digital surgery technologies, such as interventional robotics and sensor systems, not only improve patient care but also aid in the development and optimization of traditional invasive treatments and methods. Atrial Fibrillation (AF) is the most comm...

Path tracking control of a steerable catheter in transcatheter cardiology interventions.

International journal of computer assisted radiology and surgery
PURPOSE: Intracardiac transcatheter interventions allow for reducing trauma and hospitalization stays as compared to standard surgery. In the treatment of mitral regurgitation, the most widely adopted transcatheter approach consists in deploying a cl...

Automated catheter segmentation and tip detection in cerebral angiography with topology-aware geometric deep learning.

Journal of neurointerventional surgery
BACKGROUND: Visual perception of catheters and guidewires on x-ray fluoroscopy is essential for neurointervention. Endovascular robots with teleoperation capabilities are being developed, but they cannot 'see' intravascular devices, which precludes a...

Bio-Inspired Untethered Robot-Sensor Platform for Minimally Invasive Biomedical Sensing.

ACS applied materials & interfaces
Conventional catheter- or probe-based in vivo biomedical sensing is uncomfortable, inconvenient, and sometimes infeasible for long-term monitoring. Existing implantable sensors often require an invasive procedure for sensor placement. Untethered soft...

Deep learning catheter tip locations for photoacoustic-guided cardiac interventions.

Journal of biomedical optics
SIGNIFICANCE: Interventional cardiac procedures often require ionizing radiation to guide cardiac catheters to the heart. To reduce the associated risks of ionizing radiation, photoacoustic imaging can potentially be combined with robotic visual serv...

A multifunctional soft robot for cardiac interventions.

Science advances
In minimally invasive endovascular procedures, surgeons rely on catheters with low dexterity and high aspect ratios to reach an anatomical target. However, the environment inside the beating heart presents a combination of challenges unique to few an...

Overcoming Barriers and Advancements in Endovascular Robotics: A Review of Systems and Developments.

Techniques in vascular and interventional radiology
Endovascular robots have the potential to revolutionize the field of vascular interventions by enhancing procedural efficiency, accuracy, and standardization. They aim to reduce radiation exposure, as well as physical strain on operators and medical ...