Extraction of ROI and Quantitative Diagnosis of Thoracic High Resolution CT
WU Xiao-ming · Zhongguo yixue wulixue zazhi · 2008
Objective:Based on the requirement from clinical application, extraction of ROI and quantitative diagnosis of thoracic high resolution CT are investigated. Materials and Methods:Firstly, the boundary of ROI was drawn through mouse dragging, then the Bresenham scanning line algorithm was adopted to establish consecutive boundary. Secondly, the scanning line method based on 4-neighbour background pixels marked was applied to identify pixels in the background and the selected region was then extracted. Finally, some parameters were calculated to analyze and diagnose on the ROI. Result: The calculat-ed pulmonary emphysema area is nearly 39.2% of the whole lung area, so the patient belongs to level-3 pulmonary emphysema. Conclusion: Experiments shows that the novel method can be used to extract region with any shape accurately and effectively, analyze the ROI and make exact diagnosis.