A segmentation algorithm of pulmonary nodules using active contour model based on fuzzy speed function

作者：Chen, Kan; Li, Bin^*; Tian, Lian-Fang

来源：Acta Automatica Sinica, 2013, 39(8): 1257-1264.

DOI：10.3724/SP.J.1004.2013.01257

• Active contour model
• Boundary leakage
• Computer Aided Diagnosis(CAD)
• Fuzzy membership
• Ground-glass opacity
• Pulmonary nodules
• Segmentation algorithms
• Speed function

Pulmonary nodules are potential manifestation of lung cancer. In order to detect juxta-vascular pulmonary nodules and ground glass opacity pulmonary nodules in computer-aided diagnosis (CAD) system, the above two types of pulmonary nodules need to be accurately segmented. At present, the segmentation algorithm of pulmonary nodules using traditional active contour model may cause boundary leakage. In order to avoid this phenomenon, a new segmentation algorithm of pulmonary nodules using active contour model based on fuzzy speed function is proposed in this paper. First, the fuzzy membership degree in fuzzy speed function is calculated by using the fuzzy clustering algorithm, which uses gray feature and local shape index. Second, a fuzzy speed function is incorporated into the active contour model. At the boundary of pulmonary nodules, tbe fuzzy speed function equals zero and the evolution of the contour curve stops, so that the accurate segmentation of pulmonary nodules is completed. Experimental results show that the proposed algorithm can achieve accurate segmentation of juxta-vascular pulmonary nodules and ground glass opacity pulmonary nodules.

• 出版日期2013-8
• 单位华南理工大学