Rib Suppression for Enhancing Frontal Chest Radiographs Using Independent Component Analysis

Authors:
Bilal Ahmed;Tahir Rasheed;Mohammed A. Khan;Seong Jin Cho;Sungyoung Lee;Tae-Seong Kim
Affiliations:
Department of Computer Engineering, Kyung Hee University, South Korea;Department of Computer Engineering, Kyung Hee University, South Korea;Comsats Institute of Technology, Abbotabad, Pakistan;Department of Computer Engineering, Kyung Hee University, South Korea;Department of Computer Engineering, Kyung Hee University, South Korea;Department of Biomedical Engineering, Kyung Hee University, South Korea
Venue:
ICANNGA '07 Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part II
Year:
2007

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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 hard 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 nodule and aid the radiologist in the diagnosis process.