Lung partitioning for x-ray CAD applications

Pavan Annangi; Anand Raja

doi:10.1117/12.878009

8 March 2011 Lung partitioning for x-ray CAD applications

Pavan Annangi, Anand Raja

Proceedings Volume 7963, Medical Imaging 2011: Computer-Aided Diagnosis; 79631P (2011) https://doi.org/10.1117/12.878009
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

Partitioning the inside region of lung into homogeneous regions becomes a crucial step in any computer-aided diagnosis applications based on chest X-ray. The ribs, air pockets and clavicle occupy major space inside the lung as seen in the chest x-ray PA image. Segmenting the ribs and clavicle to partition the lung into homogeneous regions forms a crucial step in any CAD application to better classify abnormalities. In this paper we present two separate algorithms to segment ribs and the clavicle bone in a completely automated way. The posterior ribs are segmented based on Phase congruency features and the clavicle is segmented using Mean curvature features followed by Radon transform. Both the algorithms work on the premise that the presentation of each of these anatomical structures inside the left and right lung has a specific orientation range within which they are confined to. The search space for both the algorithms is limited to the region inside the lung, which is obtained by an automated lung segmentation algorithm that was previously developed in our group. Both the algorithms were tested on 100 images of normal and patients affected with Pneumoconiosis.

Citation Download Citation

Pavan Annangi and Anand Raja "Lung partitioning for x-ray CAD applications", Proc. SPIE 7963, Medical Imaging 2011: Computer-Aided Diagnosis, 79631P (8 March 2011); https://doi.org/10.1117/12.878009

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