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An application framework of 3D assessment image registration accuracy and untouched surface area in canal instrumentation laboratory research with micro-computed tomography

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Abstract

Objectives

The purpose of this study was to develop a customized framework for evaluating the registration accuracy of four registration techniques and measuring the untouched surface area of canal instrumentation by visually inspecting and calculating the overlapping area of the surfaces.

Methods

Twenty-one mandibular incisors were scanned by micro-computed tomography before and after instrumentation. Elastix registration, surface registration, manual registration, and DataViewer registration techniques were used to align the pre- and post-operative datasets. The customized MeVisLab framework was created to investigate the registration accuracy by visual inspection and calculating overlapping areas. The canal surfaces were imported into the same framework to measure the untouched surface area and the consistence test was validated. The correlation between registration accuracy and untouched surface area was analyzed.

Results

There is a statistically significant difference between manual registration and automatic registration (P < 0.05). There is no statistical difference between the two untouched surface measure methods (P > 0.05). The partial correlation coefficients for the untouched surface area and registration accuracy were 0.45 (P < 0.05).

Conclusions

This application framework based on free customizable software, allows a new method to measure registration accuracy and untouched surface area in an efficient and sensitive way. The application of a precise registration method would improve the quality of micro-CT canal instrumentation studies.

Clinical relevance

This study developed a customized framework based on free software for evaluating the registration accuracy of different registration techniques and measuring the untouched surface area of canal instrumentation could help researchers to improve the quality of micro-CT studies of canal instrumentation.

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Acknowledgements

This study was supported by the Funding of the Key Research and Development Program of Sichuan province (No. 2021YFS0031) and the National Natural Science Foundation of China (No. 62171193). The remaining authors deny any conflict of interest.

Funding

This study was supported by the Funding of the Key Research and Development Program of Sichuan province (No.2021YFS0031) and the National Natural Science Foundation of China (No.62171193).

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Authors and Affiliations

  1. State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases, Department of Cariology and Endodontics, West China Hospital of Stomatology, Sichuan University, 14#, 3rd Section of RenMin South Road, Chengdu, 610041, China

    Kayi Lui, Hao Wang, Xueqin Yang, Dingming Huang, Xuedong Zhou & Yuan Gao

  2. Division of Endodontics, Department of Oral Biological & Medical Sciences, Faculty of Dentistry, University of British Columbia, 2199 Wesbrook Mall, Vancouver, BC, V6T 1Z3, Canada

    He Liu & Ya Shen

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  1. Kayi Lui
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  2. He Liu
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  5. Dingming Huang
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Corresponding authors

Correspondence to Yuan Gao or Ya Shen.

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The protocol used in the present study was approved by the Medical Ethics Committee of West China Stomatological Hospital, Sichuan University (WCHSIRB-D-2020–388).

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Lui, K., Liu, H., Wang, H. et al. An application framework of 3D assessment image registration accuracy and untouched surface area in canal instrumentation laboratory research with micro-computed tomography. Clin Oral Invest 27, 715–725 (2023). https://doi.org/10.1007/s00784-022-04819-w

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