Design and Implementation of Efficient Information Retrieval Algorithm for Chest X-Ray Images

Separating the rib cages and lungs from other irrelevant structures in a given chest x-ray image is a major problem for the professionals of medical domain involved in chest x-rays. To provide an algorithm and automation solution for separating chest x-ray structures especially rib cages and lungs are the main focus of this thesis. An algorithm has been proposed using object recognition and template matching techniques of image processing domain. The results of the proposed solution have been verified for different chest x-ray images and it works with complete accuracy and efficiency. The proposed algorithm can be enhanced to accommodate the study of structures in chest x-ray image and report any inconsistencies. The Journal of American Science. 2009;5(4):43-48]. (ISSN 1545-1003)