マルコフ確率場に基づく動的輪郭モデルを用いた医用画像からの臓器の輪郭検出

• 吉田 幸司

  京都工芸繊維大学工芸学部電子情報工学科

• 中森 伸行

  京都工芸繊維大学工芸学部電子情報工学科

• 吉田 靖夫

  京都工芸繊維大学工芸学部電子情報工学科

書誌事項

タイトル別名

• Detection of Organ Contour in Medical Images Using an Active Contour Model Based on Markov Random Field

抄録

We have proposed a new method for detection of organ contours in medical images. Our method is modified active contour model by replacement of edge information of image with region information, such as average, variance of pixel values and stochastic property based on Markov random field, which allow us to introduce rules of image property. And we have introduced the technique to split the contour, which has an intersection due to noise or small organs in images. We applied this method to three-dimensional (3-D) computed tomography (CT) images and compared with results by previous methods. As a result, proposed method detected the organ contour more correctly than the previous methods.

収録刊行物

• Medical Imaging and Information Sciences

  Medical Imaging and Information Sciences 17 (2), 80-87, 2000

  Medical Imaging and Information Sciences

キーワード

• Markov random field
• Active contour model
• Segmentation
• 3-D CT
• Computeraided diagnosis

詳細情報

• CRID: 1390282680433159424
• NII論文ID: 10010439548
• NII書誌ID: AN10156808
• DOI: 10.11318/mii1984.17.80
• ISSN: 09101543
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可