Towards computer based lung disease diagnosis using accurate lung air segmentation of CT images in exhalation and inhalation phases
作者：
Highlights：
• An accurate automatic lung air volume estimation method is proposed.
• The method relies on tissue biomechanical principles and CT image processing.
• The partial volume effect is taken into account to improve the estimation accuracy.
• The method is applied to CT images of ex vivo porcine lungs and COPD patients.
• Results indicate estimations are significantly accurate in various image resolutions.
摘要
•An accurate automatic lung air volume estimation method is proposed.•The method relies on tissue biomechanical principles and CT image processing.•The partial volume effect is taken into account to improve the estimation accuracy.•The method is applied to CT images of ex vivo porcine lungs and COPD patients.•Results indicate estimations are significantly accurate in various image resolutions.
论文关键词：Lung’s air volume,COPD,Segmentation,CT image,Optimization,Partial volume
论文评审过程：Received 27 April 2016, Revised 31 October 2016, Accepted 2 November 2016, Available online 12 November 2016, Version of Record 23 December 2016.
论文官网地址：https://doi.org/10.1016/j.eswa.2016.11.013
