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