一种人体气道树快速自动提取算法的医学评价和应用

doi:10.3969/j.issn.0258-8021.2014. 05.016

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摘要为了将提出的气道自动提取算法应用到实际临床，首先由高年资放射科医生将算法分割结果与解剖结构进行了对比。然后，分别考察了重建滤波器和层间距（或重叠率）对分割结果的影响。最后，作为例子将提取算法应用到三大类气道疾病：气道形态改变、气道扩张性病变和狭窄性病变。结果表明，算法可精确提取第4级支气管和大多数第5级支气管，最高可达12级支气管，支气管分支数量达170余个。高对比的重建滤波器和小的层间距（或高重叠率）对于分割结果有利。气道提取和3D可视化能直观显示更多细节，对于气道形态改变、气道扩张性病变和狭窄性病变诊断具有重要参考价值。

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	齐守良¹ 李争华¹ 岳勇²&nbs

关键词 ： CT影像, 支气管树, 重建滤波器, 层间距, 呼吸疾病

Key words： CT images bronchial tree reconstruction filter slice interval pulmonary disease

引用本文:

齐守良¹ 李争华¹ 岳勇²&nbs. 一种人体气道树快速自动提取算法的医学评价和应用[J]. 中国生物医学工程学报, 2014, 33(5): 635-640.
QI ShouLiang1〓LI ZhengHua1〓YUE Yong2〓XU MingJie1〓HAN JW van Triest1〓KANG Yan1#*. Medical Evaluation and Application of a Fast Automatic Airway Tree Segmentation Algorithm#br#. journal1, 2014, 33(5): 635-640.

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http://cjbme.csbme.org/CN/ 10.3969/j.issn.0258-8021.2014. 05.016 或 http://cjbme.csbme.org/CN/Y2014/V33/I5/635

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