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The human depth perception of 3D stereo videos depends on the camera separation, point of convergence, distance to, and familiarity of the object. This paper presents a robotized method for rapid and reliable test data collection during live open-heart surgery to determine the ideal camera configuration.
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.
In surgery, 3D visualization can be used for education, diagnoses, pre-operative planning, and post-operative evaluation1,2. Realistic depth perception can improve understanding3,4,5,6 of normal and abnormal anatomies. Simple 2D video recordings of surgical procedures are a good start. However, the lack of depth perception can make it hard for the non-surgical colleagues to fully understand the antero-posterior relationships between different anatomical structures and therefore also ....
The experiments were approved by the local Ethics Committee in Lund, Sweden. The participation was voluntary, and the patients' legal guardians provided informed written consent.
1. Robot setup and configuration
NOTE: This experiment used a dual-arm collaborative industrial robot and the standard control panel with a touch display. The robot is controlled with RobotWare 6.10.01 controller software and robot integrated development environment (IDE) RobotStudio 2019.......
An acceptable evaluation video with the right image placed at the top in top-bottom stereoscopic 3D is shown in Video1. A successful sequence should be sharp, focused, and without unsynchronized image frames. Unsynchronized video streams will cause blur, as shown in the file Video 2. The convergence point should be centered horizontally, independent of the camera separation, as seen in Figure 9A,B. When the robot transitions between the posi.......
During live surgery, the total time of the experiment used for 3D video data collection was limited to be safe for the patient. If the object is unfocused or overexposed, the data cannot be used. The critical steps are during camera tool calibration and setup (step 2). The camera aperture and focus cannot be changed when the surgery has started; the same lighting conditions and distance should be used during setup and surgery. The camera calibration in steps 2.1-2.4 must be carried out carefully to ensure that the heart .......
The research was carried out with funding from Vinnova (2017-03728, 2018-05302 and 2018-03651), Heart-Lung Foundation (20180390), Family Kamprad Foundation (20190194), and Anna-Lisa and Sven Eric Lundgren Foundation (2017 and 2018).
....Name | Company | Catalog Number | Comments |
2 C-mount lenses (35 mm F2.1, 5 M pixel) | Tamron | M112FM35 | Rated for 5 Mpixel |
3D glasses (DLP-link active shutter) | Celexon | G1000 | Any compatible 3D glasses can be used |
3D Projector | Viewsonic | X10-4K | Displays 3D in 1080, can be exchanged for other 3D projectors |
6 M2 x 8 screws | To attach the cXimea cameras to the camera adaptor plates | ||
8 M2.5 x 8 screws | To attach the circular mounting plates to the robot wrist | ||
8 M5 x 40 screws | To mount the robot | ||
8 M6 x 10 screws with flat heads | For attaching the circular mounting plate and the camera adaptor plates | ||
Calibration checker board plate (25 by 25 mm) | Any standard checkerboard can be used, including printed, as long as the grid is clearly visible in the cameras | ||
Camera adaptor plates, x2 | Designed by the authors in robot_camera_adaptor_plates.dwg, milled in aluminium. | ||
Circular mounting plates, x2 | Distributed with the permission of the designer Julius Klein and printed with ABS plastic on an FDM 3D printer. License Tecnalia Research & Innovation 2017. Attached as Mountingplate_ROBOT_SIDE_ NewDesign_4.stl | ||
Fix focus usb cameras, x2 (5 Mpixel) | Ximea | MC050CG-SY-UB | With Sony IMX250LQR sensor |
Flexpendant | ABB | 3HAC028357-001 | robot touch display |
Liveview | recording application | ||
RobotStudio | robot integrated development environment (IDE) | ||
USB3 active cables (10.0 m), x2 | Thumbscrew lock connector, water proofed. | ||
YuMi dual-arm robot | ABB | IRB14000 |
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