Please use this identifier to cite or link to this item:
Author(s): Zhen Ma
Renato Natal M. Jorge
T. Mascarenhas
João Manuel R. S. Tavares
Title: Segmentation of female pelvic cavity in axial T2-weighted MR images towards the 3D reconstruction
Issue Date: 2012
Abstract: 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.
Subject: Ciências Tecnológicas, Biotecnologia ambiental
Technological sciences, Environmental biotechnology
Scientific areas: Ciências da engenharia e tecnologias::Biotecnologia ambiental
Engineering and technology::Environmental biotechnology
Document Type: Artigo em Revista Científica Internacional
Rights: restrictedAccess
Appears in Collections:FEUP - Artigo em Revista Científica Internacional
FMUP - Artigo em Revista Científica Internacional

Files in This Item:
File Description SizeFormat 
  Restricted Access
Paper460.38 kBAdobe PDF    Request a copy from the Author(s)

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.