Fast lung nodule detection in chest CT images using cylindrical nodule-enhancement filter

Atsushi Teramoto, Hiroshi Fujita

研究成果: Article査読

77 被引用数 (Scopus)

抄録

Purpose: Existing computer-aided detection schemes for lung nodule detection require a large number of calculations and tens of minutes per case; there is a large gap between image acquisition time and nodule detection time. In this study, we propose a fast detection scheme of lung nodule in chest CT images using cylindrical nodule-enhancement filter with the aim of improving the workflow for diagnosis in CT examinations. Methods: Proposed detection scheme involves segmentation of the lung region, preprocessing, nodule enhancement, further segmentation, and false-positive (FP) reduction. As a nodule enhancement, our method employs a cylindrical shape filter to reduce the number of calculations. False positives (FPs) in nodule candidates are reduced using support vector machine and seven types of characteristic parameters. Results: The detection performance and speed were evaluated experimentally using Lung Image Database Consortium publicly available image database. A 5-fold cross-validation result demonstrates that our method correctly detects 80 % of nodules with 4.2 FPs per case, and detection speed of proposed method is also 4-36 times faster than existing methods. Conclusion: Detection performance and speed indicate that our method may be useful for fast detection of lung nodules in CT images.

本文言語English
ページ(範囲)193-205
ページ数13
ジャーナルInternational Journal of Computer Assisted Radiology and Surgery
8
2
DOI
出版ステータスPublished - 03-2013

All Science Journal Classification (ASJC) codes

  • 外科
  • 生体医工学
  • 放射線学、核医学およびイメージング
  • コンピュータ ビジョンおよびパターン認識
  • 健康情報学
  • コンピュータ サイエンスの応用
  • コンピュータ グラフィックスおよびコンピュータ支援設計

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