Normalized cuts in 3-D for spinal MRI segmentation.
IEEE Trans Med Imaging
; 23(1): 36-44, 2004 Jan.
Article
em En
| MEDLINE
| ID: mdl-14719685
ABSTRACT
Segmentation of medical images has become an indispensable process to perform quantitative analysis of images of human organs and their functions. Normalized Cuts (NCut) is a spectral graph theoretic method that readily admits combinations of different features for image segmentation. The computational demand imposed by NCut has been successfully alleviated with the Nyström approximation method for applications different than medical imaging. In this paper we discuss the application of NCut with the Nyström approximation method to segment vertebral bodies from sagittal T1-weighted magnetic resonance images of the spine. The magnetic resonance images were preprocessed by the anisotropic diffusion algorithm, and three-dimensional local histograms of brightness was chosen as the segmentation feature. Results of the segmentation as well as limitations and challenges in this area are presented.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Coluna Vertebral
/
Algoritmos
/
Imageamento por Ressonância Magnética
/
Interpretação de Imagem Assistida por Computador
/
Aumento da Imagem
/
Técnica de Subtração
/
Anatomia Transversal
/
Imageamento Tridimensional
Tipo de estudo:
Diagnostic_studies
/
Evaluation_studies
Limite:
Humans
Idioma:
En
Revista:
IEEE Trans Med Imaging
Ano de publicação:
2004
Tipo de documento:
Article
País de afiliação:
Estados Unidos
País de publicação:
EEUU
/
ESTADOS UNIDOS
/
ESTADOS UNIDOS DA AMERICA
/
EUA
/
UNITED STATES
/
UNITED STATES OF AMERICA
/
US
/
USA