Recognition of pulmonary nodules in thoracic CT scans using 3-D deformable object models of different classes

Hotaka Takizawa, Shinji Yamamoto, Tsuyoshi Shiina

研究成果: Article査読

4 被引用数 (Scopus)

抄録

The present paper describes a novel recognition method of pulmonary nodules (i.e., cancer candidates) in thoracic computed tomography scans by use of three-dimensional spherical and cylindrical models that represent nodules and blood vessels, respectively. The anatomical validity of these object models and their fidelity to computed tomography scans are evaluated based on the Bayes theorem. The nodule recognition is employed by the maximum a posteriori estimation. The proposed method is applied to 26 actual computed tomography scans, and experimental results are shown.

本文言語English
ページ(範囲)125-144
ページ数20
ジャーナルAlgorithms
3
2
DOI
出版ステータスPublished - 2010 6月
外部発表はい

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • 数値解析
  • 計算理論と計算数学
  • 計算数学

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