Implementación de una medida objetiva de fuerte correlación con el sistema visual humano para analizar la influencia de las condiciones de adquisición sobre la calidad de las imágenes panorámicas dentales

Abstract

The High Dynamic Range Visible Difference Predictor (HDR-VDP) was created to overcome the poor correlation between objective and subjective digital image quality criteria. This metric has been successfully tested to analyze the effect of medical images compression over image quality. A study using 13 dental panoramic images of an anthropomorphic phantom was carried out. Images were acquired with a digital Kodak equipment. Tube current and beam energy were changed among studies in order to analyze how the image quality was affected by the acquisition parameters variation. The criterion about image quality of two expert observers was taken into account. Furthermore, HDR-VDP was fitted to the problem under analysis. Correlation between the metric and the subjective criterion was also analyzed. HDR-VDP had a correlation of r = 0.683 (p = 0. 013) with respect to the subjective criterion. The metric calculated over 9 x 9 pixel windows in regions of interest was able to detect differences in image quality for a typical range of kVp and mA in this type of study.