Evaluation of resolution characteristics of digital intraoral radiographic images using a task transfer function

• Published in: Oral radiology 2022-10, Vol.38 (4), p.638-644
• Main Authors: Kuramoto, Taku, Takarabe, Shinya, Tsuru, Hiroki, Shibayama, Yusuke, Kato, Toyoyuki, Yoshiura, Kazunori
• Format: Article
• Language: English
• Subjects: Aluminum; Dentistry; Enamel; Filters; Image processing; Image Processing, Computer-Assisted - methods; Imaging; Medicine; Oral and Maxillofacial Surgery; Phantoms, Imaging; Radiography, Dental, Digital; Radiology
• ISSN: 0911-6028; 1613-9674
• DOI: 10.1007/s11282-022-00633-y

Objectives This study aimed to quantitatively examine the effect of digital image processing of digital intraoral radiographic images on the resolution characteristics of the output image using a task transfer function (TTF). Methods A photostimulable phosphor system with three types of image processing filters, including periodontal, endodontic, and dentine-to-enamel junction filters, was used. Each filter can be used in conjunction with the sharpness filter (+ S). Images were obtained from the original phantom, which combined aluminum disk and plate. The TTF, which indicates the resolution characteristics, was calculated. A one-dimensional profile curve was also measured, and the fluctuation in the pixel value was evaluated in detail. The results were compared to investigate the effects of digital image processing on digital intraoral radiographic images. Results The TTF values were specific to each filter. The change in the TTF strongly reflected the characteristics of the one-dimensional profile curve. The TTF was compared with a one-dimensional profile curve and was able to quantitatively express the resolution characteristics of all directions in the image. Conclusions We attempted to evaluate the resolution characteristics of digital intraoral radiographic images with image processing filters using the TTF. The effect of each image processing filter and the + S filter on the resolution can be simply expressed using the TTF. Our results show that the TTF is useful for characterizing the resolution characteristics of image processing filters for image quality.