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Physicians perform minimally invasive percutaneous procedures under Computed Tomography (CT) image guidance both for the diagnosis and treatment of numerous diseases. For these procedures performed within Computed Tomography Scanners,…

Computed Tomography (CT) image guidance enables accurate and safe minimally invasive treatment of diseases, including cancer and chronic pain, with needle-like tools via a percutaneous approach. The physician incrementally inserts and…

Computed tomography (CT)-guided needle biopsies are critical for diagnosing a range of conditions, including lung cancer, but present challenges such as limited in-bore space, prolonged procedure times, and radiation exposure. Robotic…

Achieving precise control of robotic tool paths is often challenged by inherent system misalignments, unmodeled dynamics, and actuation inaccuracies. This work introduces an Iterative Learning Control (ILC) strategy to enable precise…

Robotics · Computer Science 2025-11-04 Yasamin Foroutani , Yasamin Mousavi-Motlagh , Aya Barzelay , Tsu-Chin Tsao

This paper describes the design, manufacture, and performance of a highly dexterous, low-profile, 7 Degree-of-Freedom (DOF) robotic arm for CT-guided percutaneous needle biopsy. Direct CT guidance allows physicians to localize tumours…

Robotics · Computer Science 2022-03-18 Dimitri A. Schreiber , Daniel B. Shak , Alexander M. Norbash , Michael C. Yip

Accurate needle placement in spine interventions is critical for effective pain management, yet it depends on reliable identification of anatomical landmarks and careful trajectory planning. Conventional imaging guidance often relies both…

Human-Computer Interaction · Computer Science 2026-03-24 Tianyu Song , Felix Pabst , Feng Li , Yordanka Velikova , Miruna-Alexandra Gafencu , Yuan Bi , Ulrich Eck , Nassir Navab

This paper presents a method of navigating a surgical robot beyond the resolution of magnetic resonance imaging (MRI) by using a resolution enhancement technique enabled by high-precision piezoelectric actuation. The surgical robot was…

Robotics · Computer Science 2020-06-11 Daniel Enrique Martinez , Waiman Meinhold , John Oshinski , Ai-Ping Hu , Jun Ueda

In the last two decades Computer Aided Diagnostics (CAD) systems were developed to help radiologists analyze screening mammograms. The benefits of current CAD technologies appear to be contradictory and they should be improved to be…

Computer Vision and Pattern Recognition · Computer Science 2017-11-10 Dezső Ribli , Anna Horváth , Zsuzsa Unger , Péter Pollner , István Csabai

Steerable needles are minimally invasive devices that enable novel medical procedures by following curved paths to avoid critical anatomical obstacles. Planning algorithms can be used to find a steerable needle motion plan to a target.…

We present a robust deep learning based 6 degrees-of-freedom (DoF) localization system for endoscopic capsule robots. Our system mainly focuses on localization of endoscopic capsule robots inside the GI tract using only visual information…

Computer Vision and Pattern Recognition · Computer Science 2017-05-17 Mehmet Turan , Yasin Almalioglu , Ender Konukoglu , Metin Sitti

Subretinal injection is a critical procedure for delivering therapeutic agents to treat retinal diseases such as age-related macular degeneration (AMD). However, retinal motion caused by physiological factors such as respiration and…

Spinal fusion surgery requires highly accurate implantation of pedicle screw implants, which must be conducted in critical proximity to vital structures with a limited view of anatomy. Robotic surgery systems have been proposed to improve…

Towards performing a realistic autonomous minimally invasive spinal fixation procedure, in this paper, we introduce a unique robotic drilling system utilizing a concentric tube steerable drilling robot (CT-SDR) integrated with a seven…

Robotics · Computer Science 2024-05-31 Susheela Sharma , Sarah Go , Jeff Bonyun , Jordan P. Amadio , Mohsen Khadem , Farshid Alambeigi

Many robotic tasks are still teleoperated since automating them is very time consuming and expensive. Robot Learning from Demonstrations (RLfD) can reduce programming time and cost. However, conventional RLfD approaches are not directly…

Robotics · Computer Science 2020-12-07 Hamidreza Hashempour , Kiyanoush Nazari , Fangxun Zhong , Amir Ghalamzan E.

Purpose: Central venous catheterization (CVC) is a critical medical procedure for vascular access, hemodynamic monitoring, and life-saving interventions. Its success remains challenging due to the need for continuous ultrasound-guided…

Robotic platforms provide consistent and precise tool positioning that significantly enhances retinal microsurgery. Integrating such systems with intraoperative optical coherence tomography (iOCT) enables image-guided robotic interventions,…

The transformative power of Convolutional Neural Networks (CNNs) in radiology diagnostics is examined in this study, with a focus on interpretability, effectiveness, and ethical issues. With an altered DenseNet architecture, the CNN…

Image and Video Processing · Electrical Eng. & Systems 2024-01-17 Keshav Kumar K. , Dr N V S L Narasimham

The multi-modality imaging system offers optimal fused images for safe and precise interventions in modern clinical practices, such as computed tomography - ultrasound (CT-US) guidance for needle insertion. However, the limited dexterity…

Robotics · Computer Science 2025-02-18 Feng Li , Yuan Bi , Dianye Huang , Zhongliang Jiang , Nassir Navab

We present an initial examination of a novel approach to accurately position a patient during head and neck intensity modulated radiotherapy (IMRT). Position-based visual-servoing of a radio-transparent soft robot is used to control the…

Robotics · Computer Science 2017-02-08 Olalekan Ogunmolu , Xuejun Gu , Steve Jiang , Nicholas Gans

The use of needles to access sites within organs is fundamental to many interventional medical procedures both for diagnosis and treatment. Safe and accurate navigation of a needle through living tissue to an intra-tissue target is…

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