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Objective: State of the art navigation systems for pelvic osteotomies use optical systems with external fiducials. We propose the use of X-Ray navigation for pose estimation of periacetabular fragments without fiducials. Methods: A 2D/3D…

Computer Vision and Pattern Recognition · Computer Science 2020-05-04 Robert B. Grupp , Rachel A. Hegeman , Ryan J. Murphy , Clayton P. Alexander , Yoshito Otake , Benjamin A. McArthur , Mehran Armand , Russell H. Taylor

Accurate and consistent mental interpretation of fluoroscopy to determine the position and orientation of acetabular bone fragments in 3D space is difficult. We propose a computer assisted approach that uses a single fluoroscopic view and…

Computer Vision and Pattern Recognition · Computer Science 2021-02-25 Robert Grupp , Ryan Murphy , Rachel Hegeman , Clayton Alexander , Mathias Unberath , Yoshito Otake , Benjamin McArthur , Mehran Armand , Russell Taylor

Fluoroscopy is the standard imaging modality used to guide hip surgery and is therefore a natural sensor for computer-assisted navigation. In order to efficiently solve the complex registration problems presented during navigation,…

Computer Vision and Pattern Recognition · Computer Science 2020-06-02 Robert Grupp , Mathias Unberath , Cong Gao , Rachel Hegeman , Ryan Murphy , Clayton Alexander , Yoshito Otake , Benjamin McArthur , Mehran Armand , Russell Taylor

Automated landmark detection offers an efficient approach for medical professionals to understand patient anatomic structure and positioning using intra-operative imaging. While current detection methods for pelvic fluoroscopy demonstrate…

Computer Vision and Pattern Recognition · Computer Science 2025-11-27 Chou Mo , Yehyun Suh , J. Ryan Martin , Daniel Moyer

This paper presents a novel method for estimating the orientation and the position of acetabular hip implants in total hip arthroplasty using full anterior-posterior hip fluoroscopy images. Our method accounts for distortions induced in the…

Computer Vision and Pattern Recognition · Computer Science 2025-03-12 Yehyun Suh , J. Ryan Martin , Daniel Moyer

Intraoperative fluoroscopy is a frequently used modality in minimally invasive orthopedic surgeries. Aligning the intraoperatively acquired X-ray image with the preoperatively acquired 3D model of a computed tomography (CT) scan reduces the…

Computer Vision and Pattern Recognition · Computer Science 2023-11-28 Pragyan Shrestha , Chun Xie , Hidehiko Shishido , Yuichi Yoshii , Itary Kitahara

The current standard of intra-operative navigation during Fenestrated Endovascular Aortic Repair (FEVAR) calls for need of 3D alignments between inserted devices and aortic branches. The navigation commonly via 2D fluoroscopic images, lacks…

Computer Vision and Pattern Recognition · Computer Science 2024-07-23 Jian-Qing Zheng , Xiao-Yun Zhou , Celia Riga , Guang-Zhong Yang

Fusing live fluoroscopy images with a 3D rotational reconstruction of the vasculature allows to navigate endovascular devices in minimally invasive neuro-vascular treatment, while reducing the usage of harmful iodine contrast medium. The…

Computer Vision and Pattern Recognition · Computer Science 2021-06-30 Robert Homan , René van Rijsselt , Daniel Ruijters

This study tackles key obstacles in adopting surgical navigation in orthopedic surgeries, including time, cost, radiation, and workflow integration challenges. Recently, our work X23D showed an approach for generating 3D anatomical models…

Fetal pose estimation in 3D ultrasound (US) involves identifying a set of associated fetal anatomical landmarks. Its primary objective is to provide comprehensive information about the fetus through landmark connections, thus benefiting…

Image and Video Processing · Electrical Eng. & Systems 2023-10-31 Chaoyu Chen , Xin Yang , Yuhao Huang , Wenlong Shi , Yan Cao , Mingyuan Luo , Xindi Hu , Lei Zhue , Lequan Yu , Kejuan Yue , Yuanji Zhang , Yi Xiong , Dong Ni , Weijun Huang

In robot-assisted Fenestrated Endovascular Aortic Repair (FEVAR), accurate alignment of stent graft fenestrations or scallops with aortic branches is essential for establishing complete blood flow perfusion. Current navigation is largely…

Computer Vision and Pattern Recognition · Computer Science 2020-09-02 Jian-Qing Zheng , Xiao-Yun Zhou , Guang-Zhong Yang

To support minimally-invasive intraoperative mitral valve repair, quantitative measurements from the valve can be obtained using an infra-red tracked stylus. It is desirable to view such manually measured points together with the endoscopic…

Computer Vision and Pattern Recognition · Computer Science 2022-01-27 Lukas Burger , Lalith Sharan , Samantha Fischer , Julian Brand , Maximillian Hehl , Gabriele Romano , Matthias Karck , Raffaele De Simone , Ivo Wolf , Sandy Engelhardt

Active surgical robots lack acceptance in clinical practice, because they do not offer the flexibility and usability required for a versatile usage: the systems require a large installation space or a complicated registration step, where…

Robotics · Computer Science 2019-10-25 Tim Übelhör , Jonas Gesenhues , Nassim Ayoub , Ali Modabber , Dirk Abel

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

Various multi-modal imaging sensors are currently involved at different steps of an interventional therapeutic work-flow. Cone beam computed tomography (CBCT), computed tomography (CT) or Magnetic Resonance (MR) images thereby provides…

Image and Video Processing · Electrical Eng. & Systems 2020-11-25 Luc Lafitte , Rémi Giraud , Cornel Zachiu , Mario Ries , Olivier Sutter , Antoine Petit , Olivier Seror , Clair Poignard , Baudouin Denis de Senneville

The ability to adapt medical image segmentation networks for a novel class such as an unseen anatomical or pathological structure, when only a few labelled examples of this class are available from local healthcare providers, is…

Image and Video Processing · Electrical Eng. & Systems 2022-01-19 Yiwen Li , Yunguan Fu , Qianye Yang , Zhe Min , Wen Yan , Henkjan Huisman , Dean Barratt , Victor Adrian Prisacariu , Yipeng Hu

We present a method to predict image deformations based on patch-wise image appearance. Specifically, we design a patch-based deep encoder-decoder network which learns the pixel/voxel-wise mapping between image appearance and registration…

Computer Vision and Pattern Recognition · Computer Science 2016-07-11 Xiao Yang , Roland Kwitt , Marc Niethammer

Accurate intra-operative localization of the bronchoscope tip relative to patient anatomy remains challenging due to respiratory motion, anatomical variability, and CT-to-body divergence that cause deformation and misalignment between…

Computer Vision and Pattern Recognition · Computer Science 2025-11-13 Hongchao Shu , Roger D. Soberanis-Mukul , Jiru Xu , Hao Ding , Morgan Ringel , Mali Shen , Saif Iftekar Sayed , Hedyeh Rafii-Tari , Mathias Unberath

Purpose: Surgical scene understanding plays a critical role in the technology stack of tomorrow's intervention-assisting systems in endoscopic surgeries. For this, tracking the endoscope pose is a key component, but remains challenging due…

Computer Vision and Pattern Recognition · Computer Science 2023-04-18 Michel Hayoz , Christopher Hahne , Mathias Gallardo , Daniel Candinas , Thomas Kurmann , Maximilian Allan , Raphael Sznitman

The emergence of real-time 3D ultrasound (US) makes it possible to consider image-based tracking of subcutaneous soft tissue targets for computer guided diagnosis and therapy. We propose a 3D transrectal US based tracking system for precise…

Other Computer Science · Computer Science 2008-01-17 Michael Baumann , Pierre Mozer , Vincent Daanen , Jocelyne Troccaz
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