Information Entropy Measure for Evaluation of Image Quality |
| |
Authors: | Du-Yih Tsai Yongbum Lee Eri Matsuyama |
| |
Institution: | (1) Department of Radiological Technology, School of Health Sciences, Niigata University, 2-746, Asahimachi-dori, Niigata 951-8518, Japan;(2) Department of Radiological Technology, Graduate School of Health Sciences, Niigata University, 2-746, Asahimachi-dori, Niigata 951-8518, Japan |
| |
Abstract: | This paper presents a simple and straightforward method for synthetically evaluating digital radiographic images by a single
parameter in terms of transmitted information (TI). The features of our proposed method are (1) simplicity of computation,
(2) simplicity of experimentation, and (3) combined assessment of image noise and resolution (blur). Two acrylic step wedges
with 0–1–2–3–4–5 and 0–2–4–6–8–10 mm in thickness were used as phantoms for experiments. In the present study, three experiments
were conducted. First, to investigate the relation between the value of TI and image noise, various radiation doses by changing
exposure time were employed. Second, we examined the relation between the value of TI and image blurring by shifting the phantoms
away from the center of the X-ray beam area toward the cathode end when imaging was performed. Third, we analyzed the combined
effect of deteriorated blur and noise on the images by employing three smoothing filters. Experimental results show that the
amount of TI is closely related to both image noise and image blurring. The results demonstrate the usefulness of our method
for evaluation of physical image quality in medical imaging. |
| |
Keywords: | Medical images image quality image processing information entropy performance evaluation |
本文献已被 SpringerLink 等数据库收录! |
|