Title :
A lung cancer lesions dectection scheme based on CT image
Author :
Tong, Jia ; Ying, Wei ; Dong, Wu Cheng
Author_Institution :
Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
A new computer-aided detection (CAD) scheme for detecting lung nodules is proposed in this paper. Firstly, the lung region is segmented from the CT data using adaptive threshold algorithm etc; Secondly, building active contour model to segment and remove lung vessel accurately in the lung region; Next, suspicious nodules are detected and omitted renal vessel is filtered using a selective shape filter; Finally, nodule features are extracted and rule-based classifier is used to distinguish true or false positive nodules. Experiment results indicate that this scheme can help radiologist improve the diagnosis efficiency.
Keywords :
biomedical imaging; blood vessels; cancer; computerised tomography; feature extraction; image classification; knowledge based systems; lung; patient diagnosis; CT data; CT image; active contour model; adaptive threshold algorithm; computer aided detection scheme; feature extraction; lung cancer lesions detection; lung vessel; renal vessel filteration; rule based classifier; shape filter; suspicious lung nodule; Cancer; Computed tomography; Design automation; Image segmentation; Lungs; Pixel; CT image; active contour model; computer-aided detection; lung nodule detection; lung vessel segmentation;
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
DOI :
10.1109/ICSPS.2010.5555557
