Orthogonal subspace projection-based approaches to classification of MR image sequences.
Comput Med Imaging Graph
; 25(6): 465-76, 2001.
Article
em En
| MEDLINE
| ID: mdl-11679208
ABSTRACT
Orthogonal subspace projection (OSP) approach has shown success in hyperspectral image classification. Recently, the feasibility of applying OSP to multispectral image classification was also demonstrated via SPOT (Satellite Pour 1'Observation de la Terra) and Landsat (Land Satellite) images. Since an MR (magnetic resonance) image sequence is also acquired by multiple spectral channels (bands), this paper presents a new application of OSP in MR image classification. The idea is to model an MR image pixel in the sequence as a linear mixture of substances (such as white matter, gray matter, cerebral spinal fluid) of interest from which each of these substances can be classified by a specific subspace projection operator followed by a desired matched filter. The experimental results show that OSP provides a promising alternative to existing MR image classification techniques.
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Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Imageamento por Ressonância Magnética
/
Espectroscopia de Ressonância Magnética
Limite:
Humans
Idioma:
En
Revista:
Comput Med Imaging Graph
Assunto da revista:
DIAGNOSTICO POR IMAGEM
Ano de publicação:
2001
Tipo de documento:
Article
País de afiliação:
Taiwan