Real-Time 3-D Video Reconstruction for Guidance of Transventricular Neurosurgery

Author:

Vagdargi Prasad1ORCID,Uneri Ali2ORCID,Zhang Xiaoxuan2ORCID,Jones Craig K.1ORCID,Wu Pengwei2,Han Runze2,Sisniega Alejandro2,Lee Junghoon3ORCID,Helm Patrick4,Luciano Mark5,Anderson William S.5ORCID,Hager Gregory D.1ORCID,Siewerdsen Jeffrey H.6ORCID

Affiliation:

1. Computer Science Department, Johns Hopkins University, Baltimore, MD, USA

2. Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA

3. Department of Radiation Oncology, Johns Hopkins University, Baltimore, MD, USA

4. Research and Development Division, Medtronic, Littleton, MA, USA

5. Department of Neurosurgery, Johns Hopkins University, Baltimore, MD, USA

6. Department of Computer Science and the Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA

Funder

National Institute of Health through the National Institute of Neurological Disorders and Stroke Project

Biomedical Research Partnership (BRP) with Medtronic, Littleton, MA, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Biomedical Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Model-based individual life-spanning documentation in visceral surgery: a proof of concept;International Journal of Computer Assisted Radiology and Surgery;2024-06-17

2. A Very Fast and Robust Method for Refinement of Putative Matches of Features in MIS Images for Robotic-Assisted Surgery;IEEE Transactions on Medical Robotics and Bionics;2024-05

3. End-to-end 3D neuroendoscopic video reconstruction for robot-assisted ventriculostomy;Medical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and Modeling;2024-03-29

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