Evaluation of the depiction ability of similar subtraction images using digital chest radiographs of different patients

Yoichiro Shimizu, Junji Morishita, Yusuke Matsunobu, Yongsu Yoon, Yasuo Sasaki, Shigehiko Katsuragawa, Hidetake Yabuuchi

研究成果: ジャーナルへの寄稿記事

抄録

The temporal subtraction (TS) technique requires the same patient’s chest radiographs (CXRs) acquired on different dates, whereas the similar subtraction (SS) technique can be used in patients who have no previous CXR, using similar CXRs from different patients. This study aimed to examine the depiction ability of SS images with simulated nodules in comparison with that of TS images with 2- and 7-year acquisition intervals. One hundred patients were randomly selected from our image database. The most recently acquired images of the patients were used as target images for subtraction. The simulated nodule was superimposed on each target image to examine the usefulness of the SS technique. The most (Top 1) and ten most (Top 10) similar images for each target image were identified in the 24,254-image database using a template-matching technique, and used for the SS technique. SS and TS images were obtained using a previously developed nonlinear image-warping technique. The depiction ability of SS and TS images was evaluated using the contrast-to-noise ratio (CNR). The proportion of Top 1 SS images showing higher CNR than that of the TS images with 2- and 7-year acquisition intervals was 28% (28/100) and 33% (33/100), respectively. Moreover, the proportion of cases that had any of the Top 10 SS images with higher CNRs than those of TS images with 2- and 7-year acquisition intervals was 56% (56/100) and 72% (72/100), respectively. Our study indicates that the SS technique can potentially be used to detect lung nodules on CXRs.

元の言語英語
ページ(範囲)40-45
ページ数6
ジャーナルRadiological physics and technology
12
発行部数1
DOI
出版物ステータス出版済み - 3 20 2019

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Subtraction Technique
chest
subtraction
Thorax
evaluation
Noise
Databases
nodules
acquisition
intervals
Lung
proportion

All Science Journal Classification (ASJC) codes

  • Radiation
  • Physical Therapy, Sports Therapy and Rehabilitation
  • Radiology Nuclear Medicine and imaging

これを引用

Evaluation of the depiction ability of similar subtraction images using digital chest radiographs of different patients. / Shimizu, Yoichiro; Morishita, Junji; Matsunobu, Yusuke; Yoon, Yongsu; Sasaki, Yasuo; Katsuragawa, Shigehiko; Yabuuchi, Hidetake.

:: Radiological physics and technology, 巻 12, 番号 1, 20.03.2019, p. 40-45.

研究成果: ジャーナルへの寄稿記事

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abstract = "The temporal subtraction (TS) technique requires the same patient’s chest radiographs (CXRs) acquired on different dates, whereas the similar subtraction (SS) technique can be used in patients who have no previous CXR, using similar CXRs from different patients. This study aimed to examine the depiction ability of SS images with simulated nodules in comparison with that of TS images with 2- and 7-year acquisition intervals. One hundred patients were randomly selected from our image database. The most recently acquired images of the patients were used as target images for subtraction. The simulated nodule was superimposed on each target image to examine the usefulness of the SS technique. The most (Top 1) and ten most (Top 10) similar images for each target image were identified in the 24,254-image database using a template-matching technique, and used for the SS technique. SS and TS images were obtained using a previously developed nonlinear image-warping technique. The depiction ability of SS and TS images was evaluated using the contrast-to-noise ratio (CNR). The proportion of Top 1 SS images showing higher CNR than that of the TS images with 2- and 7-year acquisition intervals was 28{\%} (28/100) and 33{\%} (33/100), respectively. Moreover, the proportion of cases that had any of the Top 10 SS images with higher CNRs than those of TS images with 2- and 7-year acquisition intervals was 56{\%} (56/100) and 72{\%} (72/100), respectively. Our study indicates that the SS technique can potentially be used to detect lung nodules on CXRs.",
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