Improving image quality around subtle lung nodules by reducing artifacts in similar subtraction imaging

Hitomi Nakamura, Junji Morishita, Yoichiro Shimizu, Yongsu Yoon, Yusuke Matsunobu, Shigehiko Katsuragawa, Hidetake Yabuuchi

研究成果: ジャーナルへの寄稿学術誌査読

抄録

Similar subtraction imaging is useful for the detection of lung nodules; however, some artifacts on similar subtraction images reduce their utility. The authors attempted to improve the image quality of similar subtraction images by reducing artifacts caused by differences in image contrast and sharpness between two images used for similar subtraction imaging. Image contrast was adjusted using the histogram specification technique. The differences in image sharpness were compensated for using a pixel matching technique. The improvement in image quality was evaluated objectively based on the degree of artifacts and the contrast-to-noise ratio (CNR) of the lung nodules. The artifacts in similar subtraction images were reduced in 94% (17/18) of cases, and CNR was improved in 83% (15/18) of cases. The results indicate that the combination of histogram specification and pixel matching techniques is potentially useful in improving image quality in similar subtraction imaging.

本文言語英語
ページ(範囲)460-466
ページ数7
ジャーナルRadiological physics and technology
11
4
DOI
出版ステータス出版済み - 12月 1 2018

!!!All Science Journal Classification (ASJC) codes

  • 放射線
  • 理学療法、スポーツ療法とリハビリテーション
  • 放射線学、核医学およびイメージング

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