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一種基于參數(shù)自適應的CT圖像肺氣道樹分割方法

A Method for Segmenting Lung Airway Tree Based on Adaptive Segmentation Parameter

作者: 趙鵬  馮煥清  李傳富  王昌  黃煜峰 
單位:趙鵬,馮煥清,王昌,黃煜峰(中國科學技術大學電子科技系,合肥,230027)
關鍵詞: 肺CT圖像      氣管分割      自適應閾值      區(qū)域生長 
分類號:
出版年·卷·期(頁碼):2009·28·5(454-457)
摘要:

肺CT圖像氣道樹分割對于肺呼吸功能測定和疾病診斷具有重要意義,但圖像噪聲和部分容積效應的影響會造成氣管分割的泄漏,難于分割出微小的氣管.本文利用肺氣道樹的解剖結構信息,對肺氣道樹進行分段處理,并提出一種分割參數(shù)自適應的方法,動態(tài)調整各氣管段的分割參數(shù).實驗表明,該方法能提高分割的速度和精度,并有效防止泄漏.

參考文獻:

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