Creating a Digital Twin of Spinal Surgery: A Proof of Concept
arxiv(2024)
摘要
Surgery digitalization is the process of creating a virtual replica of
real-world surgery, also referred to as a surgical digital twin (SDT). It has
significant applications in various fields such as education and training,
surgical planning, and automation of surgical tasks. In addition, SDTs are an
ideal foundation for machine learning methods, enabling the automatic
generation of training data. In this paper, we present a proof of concept (PoC)
for surgery digitalization that is applied to an ex-vivo spinal surgery. The
proposed digitalization focuses on the acquisition and modelling of the
geometry and appearance of the entire surgical scene. We employ five RGB-D
cameras for dynamic 3D reconstruction of the surgeon, a high-end camera for 3D
reconstruction of the anatomy, an infrared stereo camera for surgical
instrument tracking, and a laser scanner for 3D reconstruction of the operating
room and data fusion. We justify the proposed methodology, discuss the
challenges faced and further extensions of our prototype. While our PoC
partially relies on manual data curation, its high quality and great potential
motivate the development of automated methods for the creation of SDTs.
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