DocumentCode
3049791
Title
Automatic Segmentation and Quantitative Diagnosis of Pulmonary Parenchyma in Thoracic CT
Author
Guo, Shengwen ; Wu, Xiaoming
Author_Institution
Dept. of Biomed. Eng., South China Univ. of Technol., Guangzhou
fYear
2007
fDate
6-8 July 2007
Firstpage
668
Lastpage
670
Abstract
An adaptive threshold segmenting and contour tracing method was applied to extract the pulmonary parenchyma automatically from thoracic CT images. The density distribution of high resolution CT was used to determine the region and severity of emphysema.. Experimental results showed that the novel method can be adopted to segment the pulmonary parenchyma automatically and the accurate and effective results were presented as expected. This method can also be applied on analyzing the pathological change regions, performing quantitative analysis and helping on diagnosis of emphysema.
Keywords
computerised tomography; diseases; image segmentation; lung; medical image processing; adaptive threshold segmenting method; automatic segmentation; contour tracing method; emphysema; pulmonary parenchyma; quantitative diagnosis; thoracic computed tomography; Biomedical engineering; Computed tomography; Feature extraction; Histograms; Image segmentation; Lungs; Pathology; Performance analysis; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering, 2007. ICBBE 2007. The 1st International Conference on
Conference_Location
Wuhan
Print_ISBN
1-4244-1120-3
Type
conf
DOI
10.1109/ICBBE.2007.174
Filename
4272658
Link To Document