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The GGO Lesions Detected by Computer-Aided Detection System on Chest MDCT Images
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- Authors
- Jeong Won Lee, Ji Wook Jeong, Soo Yeul Lee, Done Sik Yoo, Seung Hwan Kim
- Issue Date
- 2006-08
- Citation
- International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS) 2006, pp.1983-1985
- Language
- English
- Type
- Conference Paper
- Abstract
- The detection of abnormal lesions in the early stages of lung cancer is important to improve survival. Computer-aided detection (CAD) system can be useful for early detection of pulmonary nodules on computed tomography (CT) images for screening. Moreover, CAD system can be 'second opinion' when a radiologist detects the pulmonary nodules on multi-slice CT images. We developed a computer-aided detection system for pulmonary nodule detection on multi-detector row computed tomography (MDCT) images. We applied the nodule isolation technique using radial distribution function and additional algorithms. In this paper, we reported the ground-glass opacity (GGO) lesions detected by self-developed computer-aided pulmonary nodule detection system. © 2006 IEEE.