INEB
INEB
TitleGenetic model-based segmentation of chest X-ray images using free form deformations
Publication TypeBook
Year of Publication2005
AuthorsVinhais, C, Campilho, A
Series TitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Lect. Notes Comput. Sci.
Volume3656 LNCS
Number of Pages958 - 965
CityToronto
ISBN Number03029743 (ISSN); 3540290699 (ISBN); 9783540290698 (ISBN)
KeywordsComputer aided analysis, Diaphragms, Feature extraction, Free Form Deformation, Gabor Filters, Genetic Algorithms, Image segmentation, Model-based Image Segmentation, Optimization, Pattern matching, X ray analysis
AbstractA method is proposed to segment digital posterior-anterior chest X-ray images. The segmentation is achieved through the registration of a deformable prior model, describing the anatomical structures of interest, to the X-ray image. The deformation of the model is performed using a deformation grid. A coarse matching of the model is done using anatomical landmarks automatically extracted from the image, and maps of oriented edges are used to guide the deformation process, optimized with a probabilistic genetic algorithm. The method is applied to extract the ribcage and delineate the mediastinum and diaphragms. The segmentation is needed for defining the lungs region, used in computer-aided diagnosis systems. © Springer-Verlag Berlin Heidelberg 2005.
URLhttp://www.scopus.com/inward/record.url?eid=2-s2.0-33645986088&partnerID=40&md5=cda7c9ce6977b972158c866963cddc4b