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 :
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