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Abnormality tracking during video capsule endoscopy using an affine triangular constraint based on surrounding features
IPSJ Transactions on Computer Vision and Applications Pub Date : 2017-03-01 , DOI: 10.1186/s41074-017-0015-6
Yukiko Yanagawa , Tomio Echigo , Hai Vu , Hirotoshi Okazaki , Yasuhiro Fujiwara , Tetsuo Arakawa , Yasushi Yagi

The precise tracking of an abnormality in the gastrointestinal tract is useful for medical training purposes. However, the gastrointestinal wall deforms continuously in an unpredictable manner, while abnormalities lack distinctive features, making them difficult to track over continuous frames. To address this problem, we propose a tracking method for capsule endoscopy using the surrounding features of abnormalities. By applying triangular constraints using an affine transformation, we are able to track abnormalities that do not have distinctive features over consecutive image frames. We demonstrate the efficacy of our approach using eight common types of gastrointestinal abnormalities.

中文翻译:

基于周围特征的仿射三角形约束在视频胶囊内窥镜检查过程中的异常跟踪

胃肠道异常的精确跟踪对于医学培训目的很有用。然而,胃肠道壁以不可预测的方式连续变形,而异常缺乏独特的特征,使得它们难以在连续的框架上追踪。为了解决这个问题,我们提出了一种利用周围异常特征进行胶囊内窥镜检查的跟踪方法。通过使用仿射变换应用三角约束,我们能够跟踪在连续图像帧上没有明显特征的异常。我们证明了使用八种常见胃肠道异常类型的方法的有效性。
更新日期:2017-03-01
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