电子学报 ›› 2018, Vol. 46 ›› Issue (6): 1319-1326.DOI: 10.3969/j.issn.0372-2112.2018.06.007
彭圆圆, 肖昌炎
收稿日期:
2016-07-05
修回日期:
2017-10-16
出版日期:
2018-06-25
通讯作者:
作者简介:
基金资助:
PENG Yuan-yuan, XIAO Chang-yan
Received:
2016-07-05
Revised:
2017-10-16
Online:
2018-06-25
Published:
2018-06-25
摘要: CT(Computer Tomography)图像中自动分割肺裂是很困难的,肺裂往往存在不完整、形变、断裂和附裂等现象.本文提出一种融合肺部解剖结构特征来实现自动分割肺裂的方法.首先结合肺部气管和动脉血管信息定位肺裂感兴趣区域.然后利用肺裂方向信息增强肺裂,并利用多剖面滤波器滤除噪声从而对肺裂进行预分割.最后融合已定位的肺裂感兴趣区域和肺裂预分割结果来自动分割肺裂.与人工参考对比,提出的算法在人体左肺和右肺中分割的肺裂的F1-score中值分别为0.881和0.878.
中图分类号:
彭圆圆, 肖昌炎. 一种全自动的肺裂分割方法[J]. 电子学报, 2018, 46(6): 1319-1326.
PENG Yuan-yuan, XIAO Chang-yan. Automatic Segmentation of Pulmonary Fissures in CT Chest Images[J]. Acta Electronica Sinica, 2018, 46(6): 1319-1326.
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