Accurate localization of brain activity in presurgical FMRI by structure adaptive smoothing.
IEEE Trans Med Imaging
; 27(4): 531-7, 2008 Apr.
Article
em En
| MEDLINE
| ID: mdl-18390349
ABSTRACT
An important problem of the analysis of functional magnetic resonance imaging (fMRI) experiments is to achieve some noise reduction of the data without blurring the shape of the activation areas. As a novel solution to this problem, recently the propagation-separation (PS) approach has been proposed. PS is a structure adaptive smoothing method that adapts to different shapes of activation areas. In this paper, we demonstrate how this method results in a more accurate localization of brain activity. First, it is shown in numerical simulations that PS is superior over Gaussian smoothing with respect to the accurate description of the shape of activation clusters and results in less false detections. Second, in a study of 37 presurgical planning cases we found that PS and Gaussian smoothing often yield different results, and we present examples showing aspects of the superiority of PS as applied to presurgical planning.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Mapeamento Encefálico
/
Neoplasias Encefálicas
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Reconhecimento Automatizado de Padrão
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Imageamento por Ressonância Magnética
/
Imageamento Tridimensional
Tipo de estudo:
Diagnostic_studies
/
Evaluation_studies
Limite:
Humans
Idioma:
En
Revista:
IEEE Trans Med Imaging
Ano de publicação:
2008
Tipo de documento:
Article
País de afiliação:
Alemanha