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MGRG-morphological gradient based 3D region growing algorithm for airway tree segmentation in image guided intervention therapy (EI CONFERENCE)

文献类型：会议论文

作者Zhang T.; Gao X.
出版日期2011
会议名称2nd International Symposium on Bioelectronics and Bioinformatics, ISBB 2011, November 3, 2011 - November 5, 2011
会议地点Suzhou, China
关键词Accurate surgical planning and guidance plays an important role in successful implementation of image guided intervention. In interventional lung cancer diagnosis and treatments precise segmentation of airway trees from lung CT images provides crucial visualization for preoperative planning and intraoperative guidance to avoid major trachea injury. While 3D region growing can segment main the parts of an airway tree (trachea left and right main bronchus as well as bronchi) the method fails at bronchiole segmentation and is not robust. Mathematical morphology is an anatomical detective. In this paper we propose a morphological gradient based region growing (MGRG) algorithm to overcome the intensity inhomogeneity and improve the robustness of 3D region growing on extraction of bronchioles. The MGRG algorithm is validated using lung CT images and results show that it is able to segment bronchioles and outperforms the traditional region growing method on airway tree segmentation. 2011 IEEE.
页码76-79
收录类别EI
源URL[http://ir.ciomp.ac.cn/handle/181722/33535]  
专题长春光学精密机械与物理研究所_中科院长春光机所知识产出_会议论文
推荐引用方式
GB/T 7714		 Zhang T.,Gao X.. MGRG-morphological gradient based 3D region growing algorithm for airway tree segmentation in image guided intervention therapy (EI CONFERENCE)[C]. 见:2nd International Symposium on Bioelectronics and Bioinformatics, ISBB 2011, November 3, 2011 - November 5, 2011. Suzhou, China.

入库方式： OAI收割

来源：长春光学精密机械与物理研究所

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