肺部CT图像分割方法研究

基金项目:

国家自然科学基金（61401049）。

详细信息

Research of Lung Segmentation Based on CT Image

1. Key laboratory of photoelectric technology and system education, Chongqing University, Chongqing 400044, China;
2. Shenzhen Anke high-tech co., LTD. Nanjing branch, Nanjing 210003, China;
3. Engineering center of the ministry of education for industrial CT nondestructive testing, Chongqing University, Chongqing 400044, China

摘要: 医学CT图像中，肺实质区域的准确分割乃是肺结节检测的基础，其对于临床肺部疾病诊断具有重要意义。本文首先综述基于医学CT图像的肺实质分割算法，然后详细阐明肺实质分割的主要步骤，探讨几种典型算法的分割效果，包括肺实质与肺气管的比较分析。最后以此为基础，综合几种常用的分割算法与改进，提出一种实用性强、鲁棒性较好的肺实质分割算法。
- 肺部分割 /
- 肺实质 /
- 气管 /
- 边界修补
Abstract: The accurate segmentation of lung segmentation in CT image is the basis for the detection of pulmonary nodules, which is of great significance for diagnosis of clinical pulmonary diseases. Firstly, in this paper, the segmentation methods of lung segmentation based on CT image were reviewed. Then the main steps of the lung segmentation were detailed introduced, and discussed several typical algorithms of segmentation results, including the comparison of pulmonary parenchyma and pulmonary trachea. Finally, based on those methods, the paper integrated and improved several kinds of common segmentation method and algorithm, and proposes a practical and robust algorithm of lung segmentation.
- lung segmentation /
- pulmonary parenchyma /
- trachea /
- boundary repair

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