A comparison between segmentation algorithms for urinary bladder on T2-weighted MR images

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2012

Autores

Zhen, M (Autor) Outra; Renato Natal Jorge (Autor) FEUP; João Manuel R. S. Tavares (Autor) FEUP

Ata de Conferência Internacional

Título: Computational Vision and Medical Image Processing: VipIMAGE 2011

Páginas: 371-376

III ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing: VipIMAGE 2011

Olhão, Portugal, 14-14 October 2011

Indexação

Scopus - 1 Citação

Outras Informações

ID Authenticus: P-008-29V

Abstract (EN): The urinary bladder on T2-weighted MR images has a high signal intensity appearance, which can be clearly identified from the neighboring structures. However, due to the complex imaging background, the appearance of the bladder is frequently influenced by noise and partial volume effect. Different algorithms have been proposed to segment the bladder. Nevertheless, these algorithms are at their beginning phases, and considerable improvements are needed to obtain an effective automatic segmentation algorithm. In this paper, the performances of four algorithms are evaluated using a case study, from which the effectiveness and the differences between the algorithms are discussed. Quantitative analysis of the segmentation results are presented to measure the deviations of the segmentation results and reflect the aspects that need to be improved. © 2012 Taylor & Francis Group.

Idioma: Inglês

Tipo (Avaliação Docente): Científica