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Measuring Maxillary Posterior Tooth Movement: A Model Assessment using Palatal and Dental Superimposition
Published on: February 23, 2024
Automatic teeth axes calculation for well-aligned teeth using cost profile analysis along teeth center arch.
Gyehyun Kim1, Jeongjin Lee, Jinwook Seo
1DMC R&D Center, Samsung Electronics, Yeongtong-gu, Suwon-si, Korea. kgh31023@snu.ac.kr
IEEE Transactions on Bio-Medical Engineering
|January 31, 2012
Summary
This study introduces an automated method to precisely calculate individual tooth axes from dental CT scans. This aids dentists in complex procedures like dental implant placement and orthognathic surgery.
Area of Science:
- Dental imaging and computational anatomy
- Medical image analysis
- Surgical planning technologies
Background:
- Accurate tooth axis identification is crucial for dental implantology and virtual surgical planning.
- Automatic tooth and axis identification in dental CT images is challenging due to complex anatomical connections.
Purpose of the Study:
- To present a novel method for automatically calculating individual tooth axes from dental CT images.
- To improve the accuracy and efficiency of virtual dental surgery planning.
Main Methods:
- Automatic calculation of inter-tooth separation planes using cost profile analysis and a novel plane cost function.
- Segmentation of individual teeth (soft pulp and dentine) using a fast marching method with specialized speed functions.
- Calculation of tooth axes via principal component analysis on segmented tooth structures.
Main Results:
- The proposed method achieved an average angular difference of 1.94° ± 0.61° and a minimum distance difference of 1.13 ± 0.56 mm compared to manual annotations by dentists.
- Experimental results on 20 clinical datasets demonstrate high accuracy in identifying individual tooth axes.
Conclusions:
- The developed method accurately calculates individual tooth axes, offering substantial assistance for dental implant placement and orthognathic surgery.
- This automated approach enhances precision in virtual dental surgery planning, potentially improving patient outcomes.
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