Development of a Computer-Aided Diagnostic System for the Detection of Lung Cancer in Helical CT
Abstract
For a long time, lung cancer has been the leading cause of cancer death. Clinical evidences suggest that early detection of lung cancer can increase the chance of survival for those patients suffering lung cancer. Even patients with pulmonary metastasis, early detection will allow earlier modification of these patients' therapies incorporating treatment of the metastases. Therefore, any method, that can improve the clinical efficacy in detecting lung serious public health interest. Our research interest has been aimed specifically to assist radiologists in the diagnosis of lung cancer. We have developed methods in nodule modeling and analysis, segmentation of lung field and nodule suspects as well as image segmentation of lung and enhanced 3-dimensional visualization of local nodule regions. We have also integrated our work and become a workstation for diagnostic of lung cancer in CT. The 3D topological characteristics structures including bronchi, blood vessels, and nodules can be computed and evaluated. When a location of interest is identified, the computer can automatically compute size, and 3D display the suspected lesion.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 2001
- Accession Number
- ADB282747
Entities
People
- Shih-chung Ben Lo
Organizations
- Georgetown University