2007年8月
CT画像における早期虚血サイン検出アルゴリズムの開発
日本放射線技術学会雑誌
- ,
- ,
- ,
- 巻
- 63
- 号
- 8
- 開始ページ
- 835
- 終了ページ
- 842
- 記述言語
- 日本語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.6009/jjrt.63.835
- 出版者・発行元
- 公益社団法人日本放射線技術学会
This paper describes an approach to automatically detect the parenchymal hypoattenuation of hyperacute stroke in nonenhanced computed tomography (CT) images. This technique is based on a comparison between the CT values histograms of right and left brains. A subtraction curve that was regarded as an output value was calculated by subtracting the right-hemispherical histogram from the left-hemispherical histogram obtained from one of the region-of-interest (ROI) sets on an image. The output value was used to assess whether hypoattenuation exists on CT images with a threshold value. If judged abnormal, a rectangular region including a whole or partial hypoattenuation area was detected from the ROI. Twenty-six cases with hypoattenuation and 30 cases without hypoattenuation were included in this study. As a result of our experiments, the sensitivity of this method in detecting hypoattenuation was found to be 92%, with approximately 0.16 false-positive per image. Our preliminary experimental results indicated that the proposed technique can be used for the automated detection of parenchymal hypoattenuation of hyperacute stroke on nonenhanced CT images.
- リンク情報
- ID情報
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- DOI : 10.6009/jjrt.63.835
- ISSN : 0369-4305
- CiNii Articles ID : 110006386589
- CiNii Books ID : AN00197784