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Title :Information-Entropy Measure for Evaluation of Image Quality
Authors :Tsai, Du-Yih
Lee, Yongbum
Matsuyama, Eri
Publisher :Springer New York
Issue Date :2007
Journal Title :Journal of Digital Imaging
ISSN :1618-727X
Description :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 mm 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, in order 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
Type Local :学術雑誌論文
Language :eng
URI :http://hdl.handle.net/10191/6249
URL :http://www.springerlink.com/content/109379/
fullTextURL :http://dspace.lib.niigata-u.ac.jp/dspace/bitstream/10191/6249/1/05_0004.pdf
Appears in Collections:10 査読済論文 = Postprint

Please use this identifier to cite or link to this item: http://hdl.handle.net/10191/6249