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A Review of Ground Glass Opacity Detection Methods in Lung CT Images

[ Vol. 13 , Issue. 1 ]

Author(s):

Lv Linying, Liu Xiabi, Zhou Chunwu, Zhao Xinming and Zhao Yanfeng   Pages 20 - 31 ( 12 )

Abstract:


The automatic detection of Ground-Glass Opacity (GGO) in lung CT images is very useful for early diagnosis of lung cancers. In this paper, we present a study of previous GGO detection methods and summarize a common algorithm framework, which includes three components: preprocessing, candidate extraction and GGO identification. For each component, we discuss the main methods. Also we further describe the evaluation criterion and provide a comparison of the performance of the existing approaches.

Keywords:

Lung CT images, Imaging signs, GGO nodule, GGO detection, Medical imaging, Computer aided detection (CAD).

Affiliation:

Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing 100081

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