マルチスライスCT画像を用いた葉単位別の気腫性病変抽出アルゴリズムの構築

摘要

Aging and smoking history increases number of pulmonary emphysema. Alveoli restoration destroyed by pulmonary emphysema is difficult and early direction is important. Multi-slice CT technology has been improving 3-D image analysis with higher body axis resolution and shorter scan time. And low-dose high accuracy scanning becomes available. Multi-slice CT image helps physicians with accurate measuring but huge volume of the image data takes time and cost. This paper is intended for computer added emphysema region analysis and proves effectiveness of proposed algorithm.%マルチスライスCT画像を用いることで，3次元的な画像解析が可能となり菓単位別に肺気腫の分布、容積の計測，経時画像間での肺気腫の容積の変化における解析が可能となる．これらから，医師の診断に非常に有用な情報が提供できる．本報告は，検診用マルチスライスCT画像を用いて肺野を葉単位に分類して，葉単位別に肺気腫を定量的に解析するアルゴリズムについて述べる．