
Reference scanners are used in dental medicine to verify a lot of procedures. The main interest is to verify impression methods as they serve as a base for dental restorations. The current limitation of many reference scanners is the lack of accuracy scanning large objects like full dental arches, or the limited possibility to assess detailed tooth surfaces. A new reference scanner, based on focus variation scanning technique, was evaluated with regards to highest local and general accuracy. A specific scanning protocol was tested to scan original tooth surface from dental impressions. Also, different model materials were verified. The results showed a high scanning accuracy of the reference scanner with a mean deviation of 5.3 ± 1.1 μm for trueness and 1.6 ± 0.6 μm for precision in case of full arch scans. Current dental impression methods showed much higher deviations (trueness: 20.4 ± 2.2 μm, precision: 12.5 ± 2.5 μm) than the internal scanning accuracy of the reference scanner. Smaller objects like single tooth surface can be scanned with an even higher accuracy, enabling the system to assess erosive and abrasive tooth surface loss. The reference scanner can be used to measure differences for a lot of dental research fields. The different magnification levels combined with a high local and general accuracy can be used to assess changes of single teeth or restorations up to full arch changes.
Dental Impression Technique, 2800 General Neuroscience, 610 Medicine & health, Dental Arch, 1300 General Biochemistry, Genetics and Molecular Biology, 2400 General Immunology and Microbiology, Dentistry, 10066 Clinic of Conservative and Preventive Dentistry, Image Processing, Computer-Assisted, Humans, 1500 General Chemical Engineering, 610 Medicine & health
Dental Impression Technique, 2800 General Neuroscience, 610 Medicine & health, Dental Arch, 1300 General Biochemistry, Genetics and Molecular Biology, 2400 General Immunology and Microbiology, Dentistry, 10066 Clinic of Conservative and Preventive Dentistry, Image Processing, Computer-Assisted, Humans, 1500 General Chemical Engineering, 610 Medicine & health
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