Literature DB >> 29689003

Comparison of the Clinical Accuracy Between Point-to-Point Registration and Auto-Registration Using an Active Infrared Navigation System.

Jingwei Zhao1,2, Yajun Liu1,2, Mingxing Fan1,2, Bo Liu1,2, Da He1,2, Wei Tian1,2.   

Abstract

STUDY
DESIGN: A model experiment.
OBJECTIVE: To measure and compare the clinical accuracy of point-to-point registration (PR) and auto-registration (AR) in an operative set using an active infrared navigation system. SUMMARY OF BACKGROUND DATA: PR and AR are two major registration methods of navigation assisted spinal surgery. No previous study compared the difference between the two methods with respect to clinical accuracy.
METHODS: A novel method was used to measure the clinical accuracy of the navigation system under an operative set using a Sawbone model with titanium beads on the surface, which was essential to measure the accuracy numerically, instead of a real patient. Both the operative set and the procedure mimicked a regular surgery. The clinical accuracy was defined as the average distance between the "navigation coordinate" and the "image coordinate." The clinical accuracy of the PR using preoperative computed tomography (CT) images and the AR using intraoperative CT images was measured and compared.
RESULTS: The average clinical accuracy of PR was different among different segments. The accuracy of the most accurate segment, which provided the reference points during the PR, was 1.10 mm. In the two segments adjacent to the reference segment, the clinical accuracy deteriorated to 1.37 and 1.50 mm. The accuracy of the farther segments was worse. In comparison, the clinical accuracy of different segments of AR was of no significant difference. The average accuracy of AR was 0.74 mm, which was significantly better than the best accuracy of PR.
CONCLUSION: AR is better than PR with respect to clinical accuracy in navigation assisted spinal surgery. LEVEL OF EVIDENCE: N/A.

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Year:  2018        PMID: 29689003     DOI: 10.1097/BRS.0000000000002704

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  6 in total

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Journal:  Neurospine       Date:  2022-09-30

2.  Calibrating 3D Scanner in the Coordinate System of Optical Tracker for Image-To-Patient Registration.

Authors:  Wenjie Li; Jingfan Fan; Shaowen Li; Zhaorui Tian; Zhao Zheng; Danni Ai; Hong Song; Jian Yang
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3.  Spine Surgery Supported by Augmented Reality.

Authors:  Barbara Carl; Miriam Bopp; Benjamin Saß; Mirza Pojskic; Benjamin Voellger; Christopher Nimsky
Journal:  Global Spine J       Date:  2020-05-28

4.  Intraoperative Computed Tomography-Based Navigation with Augmented Reality for Lateral Approaches to the Spine.

Authors:  Mirza Pojskić; Miriam Bopp; Benjamin Saß; Andreas Kirschbaum; Christopher Nimsky; Barbara Carl
Journal:  Brain Sci       Date:  2021-05-15

Review 5.  Recent Trends, Technical Concepts and Components of Computer-Assisted Orthopedic Surgery Systems: A Comprehensive Review.

Authors:  Jan Kubicek; Filip Tomanec; Martin Cerny; Dominik Vilimek; Martina Kalova; David Oczka
Journal:  Sensors (Basel)       Date:  2019-11-27       Impact factor: 3.576

6.  Registration-free workflow for electromagnetic and optical navigation in orbital and craniofacial surgery.

Authors:  R Schreurs; F Baan; C Klop; L Dubois; L F M Beenen; P E M H Habets; A G Becking; T J J Maal
Journal:  Sci Rep       Date:  2021-09-10       Impact factor: 4.379

  6 in total

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