3D Digital Modeling of Dental Casts from Their 3D CT Images with Scatter and Beam-Hardening Correction

Dental 3D modeling plays a pivotal role in digital dentistry, offering precise tools for treatment planning, implant placement, and prosthesis customization. Traditional methods rely on physical plaster casts, which pose challenges in storage, accessibility, and accuracy, fueling interest in digitiz...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2024-03, Vol.24 (6), p.1995
Main Authors: Hegazy, Mohamed A A, Cho, Myung Hye, Cho, Min Hyoung, Lee, Soo Yeol
Format: Article
Language:English
Subjects:
Algorithms
beam-hardening artifacts
CBCT
Cone-Beam Computed Tomography - methods
CT imaging
dental 3D modeling
dental casts
Dentistry
Diagnostic imaging
Digitization
Medical imaging
Methods
Monte Carlo simulation
scatter artifacts
Sensors
Teeth
Tomography, X-Ray Computed
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Summary:Dental 3D modeling plays a pivotal role in digital dentistry, offering precise tools for treatment planning, implant placement, and prosthesis customization. Traditional methods rely on physical plaster casts, which pose challenges in storage, accessibility, and accuracy, fueling interest in digitization using 3D computed tomography (CT) imaging. We introduce a method that can reduce both artifacts simultaneously. To validate the proposed method, we carried out CT scan experiments using plaster dental casts created from dental impressions. After the artifact correction, the CT image quality was greatly improved in terms of image uniformity, contrast-to-noise ratio (CNR), and edge sharpness. We examined the correction effects on the accuracy of the 3D models generated from the CT images. As referenced to the 3D models derived from the optical scan data, the root mean square (RMS) errors were reduced by 8.8~71.7% for three dental casts of different sizes and shapes. Our method offers a solution to challenges posed by artifacts in CT scanning of plaster dental casts, leading to enhanced 3D model accuracy. This advancement holds promise for dental professionals seeking precise digital modeling for diverse applications in dentistry.
ISSN:1424-8220
1424-8220
DOI:10.3390/s24061995