Data processing of functional magnetic resonance of brain based on statistical parametric mapping / 生物医学工程学杂志
Journal of Biomedical Engineering
; (6): 477-480, 2007.
Article
de Zh
| WPRIM
| ID: wpr-357671
Bibliothèque responsable:
WPRO
ABSTRACT
This paper introduces the data processing of functional magnetic resonance imaging (fMRI) of brain based on statistical parametric mapping (SPM). Because of its excellent spatial resolution and temporal resolution as well as its noninvasive approach with no involvement in the injection of radioactive materials, the fMRI of brain has been widely used by brain researchers in the world. There are four steps in the processing, i. e. reading the raw data, pre-processing, statistical analysis of the data and model estimation. The pre-processing includes motion correction, normalization, spatial smoothing and temporal smoothing. The statistical analysis of the data includes building the general linear model. Model estimation includes serial T-test and inspecting the activation region. In this paper, emphases are laid on the new methods in every processing.
Texte intégral:
1
Indice:
WPRIM
Sujet Principal:
Physiologie
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Traitement d'image par ordinateur
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Encéphale
/
Cartographie cérébrale
/
Imagerie par résonance magnétique
/
Modèles linéaires
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Interprétation statistique de données
/
Artéfacts
/
Méthodes
Limites du sujet:
Humans
langue:
Zh
Texte intégral:
Journal of Biomedical Engineering
Année:
2007
Type:
Article