胃X線二重造影像の画像理解システムの構築

概要

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An image-understanding subsystem was developed for the first time for the computer-aided diagnosis of double-contrast gastric radiograms, the most effective images for diagnosing gastric cancer. Three tasks were incorporated : the gastric region was recognized by line tracking or by using active contours ; barium-pool regions were recognized by region extraction ; and the spinal region was recognized by examination of gray-level profiles. The image-understanding performance was evaluated by application to 18 direct radiograms. On the severe side, the gastric region was very well recognized up to 83% by the line-tracking method and up to 89% by the active-contour method. Barium-pool regions were well recognized up to 78% and the spinal region up to 56%. On the more optimistic side, the gastric region and brium-pool regions were recognized up to 100%, and the spinal region was recognized up to 83%. Furthermore, the computation time was evaluated for each processing element. The quality of image understanding by the developed system is also described.
公益社団法人日本放射線技術学会の論文
2000-03-20