DocumentCode :
1989037
Title :
Rib suppression in frontal chest radiographs: A blind source separation approach
Author :
Rasheed, Tahir ; Ahmed, Bilal ; Khan, M.A.U. ; Bettayeb, Maamar ; Lee, Sungyoung ; Kim, Tae-Seong
Author_Institution :
Dept. of Comput. Eng., Kyung Hee Univ., Seoul
fYear :
2007
fDate :
12-15 Feb. 2007
Firstpage :
1
Lastpage :
4
Abstract :
Chest radiographs play an important role in the diagnosis of lung cancer. Detection of pulmonary nodules in chest radiographs forms the basis of early detection. Due to its sparse bone structure and overlapping of the nodule with ribs and clavicles the nodule is difficult to detect in conventional chest radiographs. We present a technique based on independent component analysis (ICA) for the suppression of posterior ribs and clavicles which will enhance the visibility of the nodules and aid the radiologist in diagnosis.
Keywords :
blind source separation; cancer; diagnostic radiography; independent component analysis; medical image processing; tumours; blind source separation; frontal chest radiograph; independent component analysis; pulmonary nodule; rib suppression; sparse bone structure; Artificial neural networks; Biomedical computing; Biomedical engineering; Blind source separation; Cancer; Computed tomography; Diagnostic radiography; Independent component analysis; Lungs; Ribs;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on
Conference_Location :
Sharjah
Print_ISBN :
978-1-4244-0778-1
Electronic_ISBN :
978-1-4244-1779-8
Type :
conf
DOI :
10.1109/ISSPA.2007.4555516
Filename :
4555516
Link To Document :
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