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Simulation-Based Estimation of the Number of Cameras Required for 3D Reconstruction in a Narrow-Baseline Multi-Camera Setup

Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), 76131 Karlsruhe, Germany
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These authors contributed equally to this work and should be considered co-first authors.
Academic Editor: Barbora Kozlíková
J. Imaging 2021, 7(5), 87; https://doi.org/10.3390/jimaging7050087
Received: 5 April 2021 / Revised: 29 April 2021 / Accepted: 6 May 2021 / Published: 13 May 2021
(This article belongs to the Section Medical Imaging)
Graphical visualization systems are a common clinical tool for displaying digital images and three-dimensional volumetric data. These systems provide a broad spectrum of information to support physicians in their clinical routine. For example, the field of radiology enjoys unrestricted options for interaction with the data, since information is pre-recorded and available entirely in digital form. However, some fields, such as microsurgery, do not benefit from this yet. Microscopes, endoscopes, and laparoscopes show the surgical site as it is. To allow free data manipulation and information fusion, 3D digitization of surgical sites is required. We aimed to find the number of cameras needed to add this functionality to surgical microscopes. For this, we performed in silico simulations of the 3D reconstruction of representative models of microsurgical sites with different numbers of cameras in narrow-baseline setups. Our results show that eight independent camera views are preferable, while at least four are necessary for a digital surgical site. In most cases, eight cameras allow the reconstruction of over 99% of the visible part. With four cameras, still over 95% can be achieved. This answers one of the key questions for the development of a prototype microscope. In future, such a system can provide functionality which is unattainable today. View Full-Text
Keywords: surgical; microscope; surgical microscope; digital visualization; visualization system; common main objective; multi-camera setup; in silico; narrow baseline; 3D reconstruction; digital twin; simulation; surgical site model; MATLAB surgical; microscope; surgical microscope; digital visualization; visualization system; common main objective; multi-camera setup; in silico; narrow baseline; 3D reconstruction; digital twin; simulation; surgical site model; MATLAB
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MDPI and ACS Style

Wachter, A.; Kost, J.; Nahm, W. Simulation-Based Estimation of the Number of Cameras Required for 3D Reconstruction in a Narrow-Baseline Multi-Camera Setup. J. Imaging 2021, 7, 87. https://doi.org/10.3390/jimaging7050087

AMA Style

Wachter A, Kost J, Nahm W. Simulation-Based Estimation of the Number of Cameras Required for 3D Reconstruction in a Narrow-Baseline Multi-Camera Setup. Journal of Imaging. 2021; 7(5):87. https://doi.org/10.3390/jimaging7050087

Chicago/Turabian Style

Wachter, Andreas, Jan Kost, and Werner Nahm. 2021. "Simulation-Based Estimation of the Number of Cameras Required for 3D Reconstruction in a Narrow-Baseline Multi-Camera Setup" Journal of Imaging 7, no. 5: 87. https://doi.org/10.3390/jimaging7050087

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