Automatic segmentation of pulmonary parenchyma in thoracic CT and computer-aided diagnosis

作者：Guo, Sheng-Wen^*; Chen, Jian; Zeng, Qing-Si

来源：Journal of South China University of Technology(Natural Science Edition), 2008, 36(1): 72-75.

• Automatic segmentation
• Lung region
• Pulmonary parenchyma

In order to implement the quantitative analysis and aided diagnosis of emphysema, an adaptive threshold-segmenting and contour-tracing method was proposed to automatically extract the information of pulmonary parenchyma from high-resolution CT images, and the region and severity of emphysema were then determined according to the quantitative analysis criterion based on density distribution. Experimental results show that the proposed method can segment the pulmonary parenchyma automatically with accurate and effective results, and can statistically analyze the pathological change regions, thus implementing the quantitative analysis and exact diagnosis of emphysema.

• 出版日期2008-1
• 单位华南理工大学