Computer Aided Lung Nodule Detection on CT Data

Tong Jia; Cheng Dong Wu; Ying Wei

doi:10.4028/www.scientific.net/AMM.44-47.3492

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 44-47Computer Aided Lung Nodule Detection on CT Data

Computer Aided Lung Nodule Detection on CT Data

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.

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Periodical:

Applied Mechanics and Materials (Volumes 44-47)

Pages:

3492-3496

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.44-47.3492

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Online since:

December 2010

Authors:

Tong Jia, Cheng Dong Wu, Ying Wei

Keywords:

Active Contour, Adaptive Threshold, Hessian Matrix, Lung Nodule Detection

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