Robotized testing of camera positions to determine ideal configuration for stereo 3d visualization of open-heart surgery
(2021) In Journal of Visualized Experiments 2021(174).- Abstract
Stereo 3D video from surgical procedures can be highly valuable for medical education and improve clinical communication. But access to the operating room and the surgical field is restricted. It is a sterile environment, and the physical space is crowded with surgical staff and technical equipment. In this setting, unobscured capture and realistic reproduction of the surgical procedures are difficult. This paper presents a method for rapid and reliable data collection of stereoscopic 3D videos at different camera baseline distances and distances of convergence. To collect test data with minimum interference during surgery, with high precision and repeatability, the cameras were attached to each hand of a dual-arm robot. The robot was... (More)
Stereo 3D video from surgical procedures can be highly valuable for medical education and improve clinical communication. But access to the operating room and the surgical field is restricted. It is a sterile environment, and the physical space is crowded with surgical staff and technical equipment. In this setting, unobscured capture and realistic reproduction of the surgical procedures are difficult. This paper presents a method for rapid and reliable data collection of stereoscopic 3D videos at different camera baseline distances and distances of convergence. To collect test data with minimum interference during surgery, with high precision and repeatability, the cameras were attached to each hand of a dual-arm robot. The robot was ceiling-mounted in the operating room. It was programmed to perform a timed sequence of synchronized camera movements stepping through a range of test positions with baseline distance between 50-240 mm at incremental steps of 10 mm, and at two convergence distances of 1100 mm and 1400 mm. Surgery was paused to allow 40 consecutive 5-s video samples. A total of 10 surgical scenarios were recorded.
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- author
- Stenmark, Maj LU ; Omerbašić, Edin ; Magnusson, Måns ; Nordberg, Sanna ; Dahlström, Matilda and Tran, Phan Kiet LU
- organization
- publishing date
- 2021
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Journal of Visualized Experiments
- volume
- 2021
- issue
- 174
- article number
- e62786
- publisher
- JoVE
- external identifiers
-
- scopus:85114298112
- pmid:34459822
- ISSN
- 1940-087X
- DOI
- 10.3791/62786
- language
- English
- LU publication?
- yes
- id
- d7d4e066-2743-4149-95f8-ee6a8ddf6d62
- date added to LUP
- 2021-10-08 12:58:21
- date last changed
- 2024-06-01 17:00:39
@article{d7d4e066-2743-4149-95f8-ee6a8ddf6d62,
abstract = {{<p>Stereo 3D video from surgical procedures can be highly valuable for medical education and improve clinical communication. But access to the operating room and the surgical field is restricted. It is a sterile environment, and the physical space is crowded with surgical staff and technical equipment. In this setting, unobscured capture and realistic reproduction of the surgical procedures are difficult. This paper presents a method for rapid and reliable data collection of stereoscopic 3D videos at different camera baseline distances and distances of convergence. To collect test data with minimum interference during surgery, with high precision and repeatability, the cameras were attached to each hand of a dual-arm robot. The robot was ceiling-mounted in the operating room. It was programmed to perform a timed sequence of synchronized camera movements stepping through a range of test positions with baseline distance between 50-240 mm at incremental steps of 10 mm, and at two convergence distances of 1100 mm and 1400 mm. Surgery was paused to allow 40 consecutive 5-s video samples. A total of 10 surgical scenarios were recorded.</p>}},
author = {{Stenmark, Maj and Omerbašić, Edin and Magnusson, Måns and Nordberg, Sanna and Dahlström, Matilda and Tran, Phan Kiet}},
issn = {{1940-087X}},
language = {{eng}},
number = {{174}},
publisher = {{JoVE}},
series = {{Journal of Visualized Experiments}},
title = {{Robotized testing of camera positions to determine ideal configuration for stereo 3d visualization of open-heart surgery}},
url = {{http://dx.doi.org/10.3791/62786}},
doi = {{10.3791/62786}},
volume = {{2021}},
year = {{2021}},
}