歯科パノラマX線写真における上顎洞炎の検出手法の高度化

DOI オープンアクセス
  • 三木 勇磨
    岐阜大学大学院医学系研究科知能イメージ情報分野
  • 原 武史
    岐阜大学大学院医学系研究科知能イメージ情報分野
  • 村松 千左子
    岐阜大学大学院医学系研究科知能イメージ情報分野
  • 林 達郎
    メディア株式会社
  • 勝又 明敏
    朝日大学歯学部口腔病態医療学講座放射線学分野
  • 周 向栄
    岐阜大学大学院医学系研究科知能イメージ情報分野
  • 藤田 広志
    岐阜大学大学院医学系研究科知能イメージ情報分野

書誌事項

タイトル別名
  • Advanced automatic method for detecting maxillary sinusitis on dental panoramic radiographs

この論文をさがす

抄録

In this study, we propose an improved method to detect abnormal regions in maxillary sinuses by accurate determination of regions of interest (ROIs) based on the anatomical information. The ROIs are set based on the automated search of a hard palate and the average widths of tooth crowns. Preferably, dental panoramic radiographs are obtained with the Frankfort plane aligned horizontally. In order to manage the ROI setting in images with inappropriate positioning, the ROI locations are individually adjusted on the basis of the relationship between the reference line and the alveolar line. The proposed method was evaluated with two databases, DB‐1 and DB‐2, consisting of 59 and 39 images. Using the proposed method, the average concordance rate (Jaccard Index) was improved by more than 10%. The areas under the ROC curves for the sinusitis detection were comparable (0.86 and 0.82 for the two databases) with the previous method. As a result, it is expected that the reliability of the computer output was increased with the improved ROI determination.

収録刊行物

関連プロジェクト

もっと見る

詳細情報 詳細情報について

問題の指摘

ページトップへ