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Comparative evaluation of three commercially available markerless depth sensors for close-range use in surgical simulation: original article

Minimally invasive surgeries have restricted surgical ports, demanding a high skill level from the surgeon. Surgical simulation potentially reduces this steep learning curve and additionally provides quantitative feedback. Markerless depth sensors show great promise for quantification, but most such...

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Main Authors: Burger, Lukas (Author) , Sharan, Lalith (Author) , Karl, Roger (Author) , Wang, Christina (Author) , Karck, Matthias (Author) , De Simone, Raffaele (Author) , Wolf, Ivo (Author) , Romano, Gabriele (Author) , Engelhardt, Sandy (Author)
Format: Article (Journal)
Language:English
Published: June 2023
In: International journal of computer assisted radiology and surgery
Year: 2023, Volume: 18, Issue: 6, Pages: 1109-1118
ISSN:1861-6429
DOI:10.1007/s11548-023-02887-1
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s11548-023-02887-1
Verlag, kostenfrei, Volltext: https://link.springer.com/article/10.1007/s11548-023-02887-1
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Author Notes:Lukas Burger, Lalith Sharan, Roger Karl, Christina Wang, Matthias Karck, Raffaele De Simone, Ivo Wolf, Gabriele Romano, Sandy Engelhardt
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Summary:Minimally invasive surgeries have restricted surgical ports, demanding a high skill level from the surgeon. Surgical simulation potentially reduces this steep learning curve and additionally provides quantitative feedback. Markerless depth sensors show great promise for quantification, but most such sensors are not designed for accurate reconstruction of complex anatomical forms in close-range.
Item Description:Online veröffentlicht: 4. Mai 2023
Gesehen am 20.06.2024
Physical Description:Online Resource
ISSN:1861-6429
DOI:10.1007/s11548-023-02887-1

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