肺CT图像气道树分割对于肺呼吸功能测定和疾病诊断具有重要意义,但图像噪声和部分容积效应的影响会造成气管分割的泄漏,难于分割出微小的气管.本文利用肺气道树的解剖结构信息,对肺气道树进行分段处理,并提出一种分割参数自适应的方法,动态调整各气管段的分割参数.实验表明,该方法能提高分割的速度和精度,并有效防止泄漏.

1. Mori K,Hasegawa J,Toriwaki J,el al.Automated extraction of bronchus area from three dimensional X-ray CT images.IEICE Tech Rep,1994.
2. Singh H,Crawford M,Curtin J,et al.Automated 3D segmentation of the lung airway tree using gain-based region growing approach.International conference on Medical Image Computing and Computer-Assisted Intervention.Lecture Notes in Computer Science,2004,3217:975-982.
3. Rizi FY,Bidgoli JB,Ahmadian A,el al.An efficient fuzzy connectivity method for airway tree segmentation using fuzzy C-mean algorithm.Proceeding of 4th Kuala Lumpur International Conference on Biomedical Engineering.Kuala Lumpur:2008:501-505.
4. Bülow T,Lorenz C,Renisch S A general framework for tree segmentation and reconstruction from medical volume data.MICCAI,LNCS 3216,2004:533-540.
5. Zhou X,Hayashi T,Hara T,el al.Automatic segmentation and recognition of anatomical lung structures from high-resolution chest CT images.Computerized Medical Imaging and Graphics,2006:299-313X.
6. Mori K,Hasegawa J,Suenaga Y,el al.Automated anatomical labeling of the bronchial branch and its application to the virtual bronchoscopy system.IEEE trans Med Imag,2000,19(2):103-114.
7. Sekiguchi H,Sugimoto N Shigeru E,el al.A.Blood vessel segmetion for head MRA using branch-based region-growing.IEICE Trans Info Sys DII,2004,J87(1):126-133.
8. Schlatholter T,Lorenz C,Carlsen S,el al.Simultaneous segmentation and tree reconstruction of the airways for virtual bronchoscopy.SPIE Medical Imaging,2002,V4684:103-113.