Segmentation of female pelvic cavity in axial T2-weighted MR images towards the 3D reconstruction

• Tipo: Artigo em Revista Científica Internacional
• Data: 2012

Autores

Zhen Ma (Autor) Outra; Renato Natal M. Jorge (Autor) FEUP; T. Mascarenhas (Autor) FMUP; João Manuel R. S. Tavares (Autor) FEUP

Revista

Título: International Journal for Numerical Methods in Biomedical Engineering

Vol. 28 Nº 6-7

Páginas: 714-726

ISSN: 2040-7939

Editora: Wiley-Blackwell

Indexação

ISI Web of Knowledge - 14 Citações

ISI Web of Science

Scopus - 16 Citações

COMPENDEX

INSPEC

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Biotecnologia ambiental

CORDIS: Ciências Tecnológicas

Outras Informações

ID Authenticus: P-002-9AR

DOI: 10.1002/cnm.2463

Abstract (EN): The anatomies of pelvic structures are critical for the diagnosis of pelvic floor dysfunctions. However, because of the complex background, the imaging appearances of pelvic organs and muscles are frequently distorted by noise and partial volume effect. Magnetic resonance imaging with its clear imaging quality of the female pelvic cavity is preferred for many studies. As such, correct segmentations of the pelvic structures on MR images are required for accurate diagnoses. Effective algorithms for axial T2-weighted MR images have been proposed, which are based on the imaging features of different structures and various image clues. In this paper, we review these algorithms and evaluate their performance, and discuss implementation issues and aspects towards constructing the three-dimensional models. Copyright (c) 2012 John Wiley & Sons, Ltd.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 13