Collision-free path planning method for digital orthodontic treatment

The rapid evolution of digital orthodontics has highlighted a critical need for automated treatment planning systems that balance computational efficiency with clinical reliability. However, existing methods still suffer from several limitations, including excessive clinician involvement (accounting for over 35% of treatment planning time), reliance on empirically defined key frames, and limited biomechanical plausibility, particularly in cases of severe dental crowding. This paper proposes a novel collision-free optimization framework to address these issues simultaneously. Our method defines a total movement energy function evaluated over each tooth’s pose at intermediate time frames. This energy is minimized iteratively using a steepest descent strategy. A rollback mechanism is employed: if inter-tooth penetration is detected during an update, the step size is halved repeatedly until collisions are eliminated. The framework allows flexible control over the number of intermediate frames to enforce a strict constraint on per-tooth displacement, limiting it to 0.2 mm translation or 2 ° rotation every 10 to 14 days. Clinical evaluations show that the proposed algorithm can generate desirable and clinically valid tooth movement plans, even in complex cases, while significantly reducing the need for manual intervention.

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Publication Details

Journal
Graphical Models
Published
2025-08-18
DOI
https://doi.org/10.1016/j.gmod.2025.101297
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
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article

Collision-free path planning method for digital orthodontic treatment

Lin Lü, Hao Yu, Yuanfeng Zhou, Shuangmin Chen et al.
Graphical Models
Robotic Path Planning Algorithms
article

Collision-free path planning method for digital orthodontic treatment

Lin Lü, Hao Yu, Yuanfeng Zhou, Shuangmin Chen, Shiqing Xin, Changhe Tu
article en

Abstract

The rapid evolution of digital orthodontics has highlighted a critical need for automated treatment planning systems that balance computational efficiency with clinical reliability. However, existing methods still suffer from several limitations, including excessive clinician involvement (accounting for over 35% of treatment planning time), reliance on empirically defined key frames, and limited biomechanical plausibility, particularly in cases of severe dental crowding. This paper proposes a novel collision-free optimization framework to address these issues simultaneously. Our method defines a total movement energy function evaluated over each tooth’s pose at intermediate time frames. This energy is minimized iteratively using a steepest descent strategy. A rollback mechanism is employed: if inter-tooth penetration is detected during an update, the step size is halved repeatedly until collisions are eliminated. The framework allows flexible control over the number of intermediate frames to enforce a strict constraint on per-tooth displacement, limiting it to 0.2 mm translation or 2 ° rotation every 10 to 14 days. Clinical evaluations show that the proposed algorithm can generate desirable and clinically valid tooth movement plans, even in complex cases, while significantly reducing the need for manual intervention.

Graphical ModelsVol. 141
Qingdao University of Science and Technology (CN), Qingdao Binhai University (CN), University of Jinan (CN), Qingdao Academy of Intelligent Industries (CN), Shandong University of Science and Technology (CN)
Openalex Percentile: Top 80%
Robotic Path Planning Algorithms
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