Artifact-Resistant Superimposition of Digital Dental Models and Cone-Beam Computed Tomography Images

作者: Hsiu-Hsia Lin , Wen-Chung Chiang , Lun-Jou Lo , Sam Sheng-Pin Hsu , Chien-Hsuan Wang

DOI: 10.1016/J.JOMS.2013.06.199

关键词: MedicineArtifact (error)ReproducibilityCone beam computed tomographyDental archSuperimpositionDentistryReliability (statistics)Wilcoxon signed-rank testArtificial intelligenceComputer visionDental Models

摘要: Purpose Combining the maxillofacial cone-beam computed tomography (CBCT) model with its corresponding digital dental enables an integrated 3-dimensional (3D) representation of skeletal structures, teeth, and occlusions. Undesired artifacts, however, introduce difficulties in superimposition both models. We have proposed artifact-resistant surface-based registration method that is robust clinically applicable does not require markers. Materials Methods A CBCT bone a laser-scanned obtained from same patient were used developing examining accuracy superimposition. Our included 4 phases. The first phase was to segment maxilla mandible model. second conduct initial bring sufficiently close each other. Third, we manually selected at least 3 regions on models by smearing patches 3D surfaces. last superimpose into Each process performed twice 2 operators object investigate intra- interoperator differences. All collected objects divided groups various degrees artifacts: artifact-free, critical severe artifacts. mean errors root-mean-square (RMS) evaluate results. Repeated measures analysis variance Wilcoxon rank sum test calculate intraoperator reproducibility reliability. Results Twenty-four for evaluation 14 patients. experimental results showed between original residing fused ranged 0.10 0.43 mm RMS 0.13 0.53 mm. These data consistent previously methods acceptable. measurements study exhibited desirable Regarding nonartifact or artifact group, no significant difference repeated trials ( P Conclusions present shown regional can robustly accurately

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