濃度共起行列を用いた胸部X線画像におけるじん肺の分類法の開発

摘要

基礎的研究として胸部X線標準画像を用いてコンrnピュータによってじん肺法で定められた0～4型に型rn分類する手法を考案し，その性能の検討を行った．rn本研究では，肋骨エッジ近傍除去の有用性が示されrnた．本研究は胸部X線画像を用いたじん肺の型分類rnの診断において，客観性と再現性の向上に役立つこrnとが期待される．%Pneumoconiosis is diagnosed as categories 0-4 according to the Pneumoconiosis Law. Physicians have difficulty precisely categorizing many chest images. Therefore, we have developed a computerized method for automatically categorizing pneumoconiosis from chest radiographs. First, we extracted the rib edge regions from lung ROIs. Second, texture features were extracted using a dot enhancement filter, line enhancement filter, and grey level co-occurrence matrix. Third, the rib edge regions were removed from these processed images. Finally, we used a support vector machine for feature analysis. In a consistency test, 56 cases (69.7%) were classified correctly, and 45 cases (61.8%) were classified correctly in a validation test. These results show that the proposed features and removal of the rib edge are effective in classifying the profusion of opacities that indicate pneumoconiosis.