Utilize este identificador para referenciar este registo: https://hdl.handle.net/10216/85435
Autor(es): Pedro Pedrosa Rebouças Filho
Paulo César Cortez
Antônio C. da Silva Barros
Victor Hugo C. Albuquerque
João Manuel R. S. Tavares
Título: Novel and powerful 3D adaptive crisp active contour method applied in the segmentation of CT lung images
Data de publicação: 2017-01
Resumo: The World Health Organization estimates that 300 million people have asthma, 210 million people have Chronic Obstructive Pulmonary Disease (COPD), and, according to WHO, COPD will become the third major cause of death worldwide in 2030. Computational Vision systems are commonly used in pulmonology to address the task of image segmentation, which is essential for accurate medical diagnoses. Segmentation defines the regions of the lungs in CT images of the thorax that must be further analyzed by the system or by a specialist physician. This work proposes a novel and powerful technique named 3D Adaptive Crisp Active Contour Method (3D ACACM) for the segmentation of CT lung images. The method starts with a sphere within the lung to be segmented that is deformed by forces acting on it towards the lung borders. This process is performed iteratively in order to minimize an energy function associated with the 3D deformable model used. In the experimental assessment, the 3D ACACM is compared against three approaches commonly used in this field: the automatic 3D Region Growing, the level-set algorithm based on coherent propagation and the semi-automatic segmentation by an expert using the 3D OsiriX toolbox. When applied to 40 CT scans of the chest the 3D ACACM had an average F-measure of 99.22%, revealing its superiority and competency to segment lungs in CT images.
Assunto: Ciências Tecnológicas, Ciências da engenharia e tecnologias
Technological sciences, Engineering and technology
Áreas do conhecimento: Ciências da engenharia e tecnologias
Engineering and technology
URI: https://hdl.handle.net/10216/85435
Tipo de Documento: Artigo em Revista Científica Internacional
Condições de Acesso: openAccess
Licença: https://creativecommons.org/licenses/by-nc/4.0/
Aparece nas coleções:FEUP - Artigo em Revista Científica Internacional

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