Progress on CT image-based lung lobe segmentation techniques(PDF)
《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]
- Issue:
- 2019年第10期
- Page:
- 1168-1172
- Research Field:
- 医学影像物理
- Publishing date:
Info
- Title:
- Progress on CT image-based lung lobe segmentation techniques
- Author(s):
- GAO Lei; DUAN Huihong; ZHOU Weiding; NIE Shengdong
- School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
- Keywords:
- ; computed tomography image; lung lobe; segmentation; review
- PACS:
- R318；R816.41
- DOI:
- DOI:10.3969/j.issn.1005-202X.2019.10.010
- Abstract:
- Abstract: The identification of lung lobes is of great significance in the analysis of the type and severity of lung diseases. However, the CT image blurring caused by partial volume effect, patient movements and pathological factors makes the lung lobe segmentation become a challenging problem. Herein the domestic and international developments of the algorithms for lung lobe segmentation are mainly summarized. Firstly, the research background and significance of lung lobe segmentation are introduced. Subsequently, the algorithms used for lung lobe segmentation and their advantages and existing defects were analyzed from the two aspects of lung fissure detection step and lung fissure surface generation step. Finally, the development prospect of the algorithms for lung lobe segmentation is presented.
Last Update: 2019-10-30