Litcius/Paper detail

Comparison of smartphone‐camera and conventional flatbed scanner images for analytical evaluation of chewing function

Nicolas Fankhauser, Nicole Kalberer, Frauke Müller, Cláudio Rodrigues Leles, Martin Schimmel, Murali Srinivasan

2020Journal of Oral Rehabilitation17 citationsDOI

Abstract

BACKGROUND: The two-colour mixing test is a quick method to assess chewing function (CF). The use of smartphone cameras for acquiring images may help in further simplifying the process. OBJECTIVE: This study evaluated the reliability of smartphone-camera images of chewing gums to assess CF. METHODS: Five test samples of a bicoloured chewing gum were produced by a single fully dentate adult volunteer. The specimens were flattened to 1-mm thick wafers. The two sides of the wafers were digitised with a conventional flatbed scanner (control) and were photographed 20 times using 8 different smartphones. The images were assessed optoelectronically to obtain the variance of hue (VoH) and subjectively by visual assessment (SA) using a categorical scale (SA1-SA5). Spearman's correlation and regression models were used for statistical analyses. RESULTS: The intra-group variability for SA1-SA3 was <1% for all smartphones, but significantly higher than controls for SA4 and SA5 (smartphone: SA4 = 5.57%; SA5 = 8.76%; control: SA4 = 2.5%; SA5 = 0.79%). VoH was progressively lower from SA1 to SA5 for all imaging devices (r > -.97; P < .001). VoH comparisons between control and smartphone images revealed significant differences for the individual SA categories, and however, the magnitude of differences was small and non-significant when the full range of SA levels were considered. The linear mixed model regression showed significant effects for all the smartphones (P < .001) and SA levels (P < .001) in relation to the flatbed scanner values. CONCLUSIONS: Smartphone cameras may be used to evaluate colour mixture for a bolus-kneading test, however, the precision is lower with higher degrees of colour mixing.

Topics & Concepts

ScannerHueArtificial intelligenceComputer visionMathematicsIntraclass correlationComputer scienceStatisticsReproducibilityTemporomandibular Joint DisordersOrthodontics and Dentofacial OrthopedicsDental Health and Care Utilization