DocumentCode :
3051174
Title :
A New Method for Detection of Pulmonary Nodules
Author :
Gao Yuanyuan ; Lv Qingwen ; Feng Qianjin ; Chen Wufan
Author_Institution :
Dept. of Biomed. Eng., Southern Med. Univ., Guangzhou
fYear :
2007
fDate :
6-8 July 2007
Firstpage :
980
Lastpage :
983
Abstract :
In order to find the pulmonary nodules at the early stage of lung cancer or in duty check, we must detect the pulmonary nodules quickly and exhaustively, especially the small nodules which are often omitted by doctors. A new TMH (template-matching with Hessian matrix) method is proposed in this paper. First lung lobes are gained. Fhen FM (template-matching method) is used to detect the pulmonary nodules. Fhen the Hessian matrix is imported into the method. With this new method, we can decrease the true positive rate markedly. FMH method has been proved to be quick, complete and has low true positive rate.
Keywords :
cancer; computerised tomography; lung; medical image processing; Hessian matrix; high-resolution CT; lung cancer; lung lobes; pulmonary nodule detection; template matching method; Arithmetic; Biomedical engineering; Biomedical imaging; Cancer detection; Computed tomography; Detection algorithms; Image segmentation; Lesions; Lungs; 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.2007.254
Filename :
4272738
Link To Document :
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