論文

査読有り
2008年9月

Information-Entropy Measure for Evaluation of Image Quality

Journal of Digital Imaging
  • Tsai Du-Yih
  • ,
  • Lee Yongbum
  • ,
  • Matsuyama Eri
  • ,
  • 蔡 篤儀
  • ,
  • 李 鎔範
  • ,
  • 松山 江里

21
3
開始ページ
338
終了ページ
347
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1007/s10278-007-9044-5
出版者・発行元
Springer New York

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.

リンク情報
DOI
https://doi.org/10.1007/s10278-007-9044-5
CiNii Articles
http://ci.nii.ac.jp/naid/120005237679
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000258532200011&DestApp=WOS_CPL
URL
http://www.springerlink.com/content/n8h6788889090760/?p=bce10fc836aa494e91f5e4d422e702fe&pi=1
ID情報
  • DOI : 10.1007/s10278-007-9044-5
  • ISSN : 0897-1889
  • eISSN : 1618-727X
  • CiNii Articles ID : 120005237679
  • identifiers.cinii_nr_id : 9000006316260
  • Web of Science ID : WOS:000258532200011

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