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The potential of Augmented Reality (AR) technology to assist minimally invasive surgeries (MIS) lies in its computational performance and accuracy in dealing with challenging MIS scenes. Even with the latest hardware and software…

Computer Vision and Pattern Recognition · Computer Science 2017-08-04 Long Chen , Wen Tang , Nigel W. John

For those experiencing severe-to-profound sensorineural hearing loss, the cochlear implant (CI) is the preferred treatment. Augmented reality (AR) aided surgery can potentially improve CI procedures and hearing outcomes. Typically, AR…

Computer Vision and Pattern Recognition · Computer Science 2024-03-13 Yike Zhang , Eduardo Davalos , Dingjie Su , Ange Lou , Jack H. Noble

The purpose of this paper is to contribute towards the near-future privacy-preserving big data analytical healthcare platforms, capable of processing streamed or uploaded timeseries data or videos from patients. The experimental work…

Computer Vision and Pattern Recognition · Computer Science 2024-12-31 Boris Bačić , Claudiu Vasile , Chengwei Feng , Marian G. Ciucă

The use of Augmented Reality (AR) devices for surgical guidance has gained increasing traction in the medical field. Traditional registration methods often rely on external fiducial markers to achieve high accuracy and real-time…

Computer Vision and Pattern Recognition · Computer Science 2025-06-03 Yue Yang , Christoph Leuze , Brian Hargreaves , Bruce Daniel , Fred Baik

Arthroscopy is a minimally invasive surgical procedure used to diagnose and treat joint problems. The clinical workflow of arthroscopy typically involves inserting an arthroscope into the joint through a small incision, during which…

Computer Vision and Pattern Recognition · Computer Science 2024-10-02 Hongchao Shu , Mingxu Liu , Lalithkumar Seenivasan , Suxi Gu , Ping-Cheng Ku , Jonathan Knopf , Russell Taylor , Mathias Unberath

Purpose: Accurate intraoperative X-ray/CT registration is essential for surgical navigation in orthopedic procedures. However, existing methods struggle with consistently achieving sub-millimeter accuracy, robustness under broad initial…

Computer Vision and Pattern Recognition · Computer Science 2025-11-25 Roman Flepp , Leon Nissen , Bastian Sigrist , Arend Nieuwland , Nicola Cavalcanti , Philipp Fürnstahl , Thomas Dreher , Lilian Calvet

In percutaneous orthopedic interventions the surgeon attempts to reduce and fixate fractures in bony structures. The complexity of these interventions arises when the surgeon performs the challenging task of navigating surgical tools…

Computer Vision and Pattern Recognition · Computer Science 2018-03-26 Jonas Hajek , Mathias Unberath , Javad Fotouhi , Bastian Bier , Sing Chun Lee , Greg Osgood , Andreas Maier , Mehran Armand , Nassir Navab

Purpose: In this paper, we develop and clinically evaluate a depth-only, markerless augmented reality (AR) registration pipeline on a head-mounted display, and assess accuracy across small or low-curvature anatomies in real-life operative…

Computer Vision and Pattern Recognition · Computer Science 2025-11-05 Yue Yang , Fabian Necker , Christoph Leuze , Michelle Chen , Andrey Finegersh , Jake Lee , Vasu Divi , Bruce Daniel , Brian Hargreaves , Jie Ying Wu , Fred M Baik

Image segmentation in total knee arthroplasty is crucial for precise preoperative planning and accurate implant positioning, leading to improved surgical outcomes and patient satisfaction. The biggest challenges of image segmentation in…

Image and Video Processing · Electrical Eng. & Systems 2024-05-28 Viet Dung Nguyen , Michael T. LaCour , Richard D. Komistek

Arthroscopic procedures can greatly benefit from navigation systems that enhance spatial awareness, depth perception, and field of view. However, existing optical tracking solutions impose strict workspace constraints and disrupt surgical…

Image and Video Processing · Electrical Eng. & Systems 2025-11-17 Hongchao Shu , Lalithkumar Seenivasan , Mingxu Liu , Yunseo Hwang , Yu-Chun Ku , Jonathan Knopf , Alejandro Martin-Gomez , Mehran Armand , Mathias Unberath

Suboptimal interaction with patient data and challenges in mastering 3D anatomy based on ill-posed 2D interventional images are essential concerns in image-guided therapies. Augmented reality (AR) has been introduced in the operating rooms…

Computer Vision and Pattern Recognition · Computer Science 2020-03-05 Javad Fotouhi , Arian Mehrfard , Tianyu Song , Alex Johnson , Greg Osgood , Mathias Unberath , Mehran Armand , Nassir Navab

During Percutaneous Nephrolithotomy (PCNL) operations, the surgeon is required to define the incision point on the patient's back, align the needle to a pre-planned path, and perform puncture operations afterward. The procedure is currently…

Background and aim: Most of the Mixed Reality models used in the surgical telepresence are suffering from discrepancies in the boundary area and spatial-temporal inconsistency due to the illumination variation in the video frames. The aim…

Robust and accurate 2D/3D registration, which aligns preoperative models with intraoperative images of the same anatomy, is crucial for successful interventional navigation. To mitigate the challenge of a limited field of view in…

Computer Vision and Pattern Recognition · Computer Science 2025-06-30 Yuxin Cui , Rui Song , Yibin Li , Max Q. -H. Meng , Zhe Min

Advances in computer vision, particularly in optical image-based 3D reconstruction and feature matching, enable applications like marker-less surgical navigation and digitization of surgery. However, their development is hindered by a lack…

Computer Vision and Pattern Recognition · Computer Science 2025-01-29 Emma Most , Jonas Hein , Frédéric Giraud , Nicola A. Cavalcanti , Lukas Zingg , Baptiste Brument , Nino Louman , Fabio Carrillo , Philipp Fürnstahl , Lilian Calvet

Purpose. Ability to locate and track ultrasound images in the 3D operating space is of great benefit for multiple clinical applications. This is often accomplished by tracking the probe using a precise but expensive optical or…

Image and Video Processing · Electrical Eng. & Systems 2022-05-11 Yitian Zhou , Gaétan Lelu , Boris Labbé , Guillaume Pasquier , Pierre Le Gargasson , Albert Murienne , Laurent Launay

Large numbers of radiographic images are available in knee radiology practices which could be used for training of deep learning models for diagnosis of knee abnormalities. However, those images do not typically contain readily available…

Image and Video Processing · Electrical Eng. & Systems 2023-09-07 Jikai Zhang , Carlos Santos , Christine Park , Maciej Mazurowski , Roy Colglazier

Conventional computer-assisted orthopaedic navigation systems rely on the tracking of dedicated optical markers for patient poses, which makes the surgical workflow more invasive, tedious, and expensive. Visual tracking has recently been…

Computer Vision and Pattern Recognition · Computer Science 2021-08-25 Xue Hu , Anh Nguyen , Ferdinando Rodriguez y Baena

Surgical navigation provides real-time guidance by estimating the pose of patient anatomy and surgical instruments to visualize relevant intraoperative information. In conventional systems, instruments are typically tracked using fiducial…

Human-Computer Interaction · Computer Science 2026-03-10 Jiaming Zhang , Mingxu Liu , Hongchao Shu , Ruixing Liang , Yihao Liu , Ojas Taskar , Amir Kheradmand , Mehran Armand , Alejandro Martin-Gomez

Augmented Reality (AR) has emerged as a significant advancement in surgical procedures, offering a solution to the challenges posed by traditional neuronavigation methods. These conventional techniques often necessitate surgeons to split…

Human-Computer Interaction · Computer Science 2023-11-06 Mahdi Bagheri , Farhad Piri , Hadi Digale , Saem Sattarzadeh , Mohammad Reza Mohammadi
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