The accuracy of a new device using mixed reality surgical navigation (MRSN) with UCRT frame

Published: 18 September 2023| Version 1 | DOI: 10.17632/ch4tdcn5c8.1
Contributors:
Hua Chen, Peifu Tang, haoyang liu

Description

1. Time of 3D Model Reconstruction <20s Computational data from CT scanned bones (Dicom sequence files) were imported into the Mimmics software to be created into a visualized 3D digital model file in .stl format in less than 20 seconds. 2. Loading Time of a 3D Model <10s This system loads the required time to visualize the 3D numeric model. After booting the system software, the process can be completed in 10 seconds by choosing to start with the finished visualized 3D digital model created, to display it in the software, and to complete the automatic registration of the 3D digital model with the real skeleton. 3. Clinical positioning accuracy <1 mm The deviation was defined as the difference between the planned screw pathway, based on a visualized 3D digital model or an intraoperative fluroscoply, and the actual positioning of the screw pathway. 4. 3D Reconstruction/Intelligent Registry Accuracy <0.5 mm The 3D model of the system’s reconstitution differed in shape and volume from that of the real skeleton, i.e. the reconstitution accuracy of the 3D model was ±0.5 mm. When automated intelligent registration was completed, the spatial position of the 3D model was displayed in real time as the difference between the spatial position of the actual skeleton and the spatial position of the 3D model, i.e. the 3D model’s intelligent registration accuracy was ±0.5 mm.

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Categories

Fracture, Closed Reduction and Fixation of Fracture, Image-Guided Surgical Navigation, Accuracy Analysis

Funding

National Science and Technology Major Project

The Key Project of the Ministry of Science and Technology of China

Military Medical Science and Technology Youth Training Program

21QNPY131

Military Logistics Science and Technology Achievements Expansion Project

145BHQ090003074X

National Science and Technology Major Project

2016YFE0126200

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