| Title | Evaluation of contrast enhancement filters for lung nodule detection |
| Publication Type | Book |
| Year of Publication | 2007 |
| Authors | Pereira, CS, Mendonça, AM, Campilho, A |
| Series Title | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Lect. Notes Comput. Sci. |
| Volume | 4633 LNCS |
| Number of Pages | 878 - 888 |
| City | Montreal |
| ISBN Number | 03029743 (ISSN); 9783540742586 (ISBN) |
| Keywords | Adaptive systems, Contrast enhancement filters, Database systems, Image segmentation, Iris filter (IF), Medical imaging, Radiography, X rays |
| Abstract | The aim of this paper is to evaluate and compare the performance of three convergence index (CI) filters when applied to the enhancement of chest radiographs, aiming at the detection of lung nodules. One of these filters, the sliding band filter (SBF), is the proposal of an innovative operator, while the other two CI class members, the iris filter (IF) and the adaptive ring filter (ARF), are already known in this application. To demonstrate the adequacy of the new filter for the enhancement of chest x-ray images, we calculated several figures of merit with the goal of comparing (i) the contrast enhancement capability of the filters, and (ii) the behavior of the filters for the detection of lung nodules. The results obtained for 154 images with nodules of the JSRT database show that the SBF outperforms both the IF and ARF. The proposed filter demonstrated to be a promising enhancement method, thus justifying its use in the first stage of a computer-aided diagnosis system for the detection of lung nodules. © Springer-Verlag Berlin Heidelberg 2007. |
