Cone Beam Computed Tomography in Orthodontics: Indications, Insights, and Innovations 2014
DOI: 10.1002/9781118674888.ch12
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Application of 3D TMJ Imaging to TMJDs, TMJ Functional Analyses, and Orthodontic Treatment Outcomes

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Cited by 2 publications
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“…The second method, called iterative closest point analysis determines the shortest distances between structures in two superimposed 3D images. [25][26][27][28][29] These changes can then be represented as a colour map that depicts inward or outward or no displacements between the two time points (Figures 1 and 2). Although iterative closest point cannot be used to assess changes in shape, an iterative closest point-based algorithm coupled with CBCT images has been developed to simulate orthodontic tooth movement with the goal of developing software to aid in orthodontic treatment planning.…”
Section: Orthodontic Research and Findings Using Cbctmentioning
confidence: 99%
“…The second method, called iterative closest point analysis determines the shortest distances between structures in two superimposed 3D images. [25][26][27][28][29] These changes can then be represented as a colour map that depicts inward or outward or no displacements between the two time points (Figures 1 and 2). Although iterative closest point cannot be used to assess changes in shape, an iterative closest point-based algorithm coupled with CBCT images has been developed to simulate orthodontic tooth movement with the goal of developing software to aid in orthodontic treatment planning.…”
Section: Orthodontic Research and Findings Using Cbctmentioning
confidence: 99%
“…The second method, called iterative closest point analysis, determines the shortest distances between structures in two superimposed 3D images but cannot be used to assess changes in shape [5,6].…”
Section: Introductionmentioning
confidence: 99%