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Automatic virtual reduction of unilateral zygomatic fractures based on ICP algorithm: A preliminary study.

Runqi Liu1, Bimeng Jie1, Yanhang Tong1

  • 1Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, PR China; National Engineering Laboratory for Digital and Material Technology of Stomatology, PR China; Beijing Key Laboratory of Digital Stomatology, PR China; National Clinical Research Center for Oral Diseases, Beijing, PR China.

Journal of Stomatology, Oral and Maxillofacial Surgery
|January 6, 2025
PubMed
Summary

An automated method using the Iterative Closest Point (ICP) algorithm significantly reduces operating time for unilateral zygomatic fractures compared to manual reduction. This technique offers clinically acceptable accuracy for treating these facial bone fractures.

Keywords:
Bone reductionComputer-assisted surgeryICP algorithmZygomatic fracture

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Area of Science:

  • Medical Imaging
  • Computer-Aided Surgery
  • Biomedical Engineering

Background:

  • Unilateral zygomatic fractures present challenges in accurate surgical reduction.
  • Existing manual reduction methods can be time-consuming and operator-dependent.

Purpose of the Study:

  • To develop and evaluate an automated reduction method for unilateral zygomatic fractures.
  • To compare the efficiency and accuracy of the automated method against manual reduction.

Main Methods:

  • A cohort of 60 patients with unilateral type B zygomatic fractures was studied.
  • CT images were used to segment fragments, with the healthy zygoma mirrored to create a target.
  • The Iterative Closest Point (ICP) algorithm in MICSys software was employed for automatic fragment registration and reduction.

Main Results:

  • The automated reduction method demonstrated a significantly shorter operating time (3.06 ± 1.93 s) compared to manual reduction (65.45 ± 32.19 s) (P < 0.0001).
  • Accuracy, measured by Root Mean Square Error (RMSE), was comparable between the automated (1.94 ± 0.59 mm) and manual (2.33 ± 0.57 mm) methods, with a statistically significant difference (P < 0.0001).

Conclusions:

  • An automated reduction technique for unilateral zygomatic fractures based on the ICP algorithm has been successfully established.
  • The developed method is clinically acceptable, offering a faster and accurate alternative for treating zygomatic fractures.