Evaluating kurtosis-based diffusion MRI tissue models for white matter with fiber ball imaging.
NMR Biomed
; 30(5)2017 May.
Article
em En
| MEDLINE
| ID: mdl-28085211
ABSTRACT
In order to quantify well-defined microstructural properties of brain tissue from diffusion MRI (dMRI) data, tissue models are typically employed that relate biological features, such as cell morphology and cell membrane permeability, to the diffusion dynamics. A variety of such models have been proposed for white matter, and their validation is a topic of active interest. In this paper, three different tissue models are tested by comparing their predictions for a specific microstructural parameter to a value measured independently with a recently proposed dMRI method known as fiber ball imaging (FBI). The three tissue models are all constructed with the diffusion and kurtosis tensors, and they are hence compatible with diffusional kurtosis imaging. Nevertheless, the models differ significantly in their details and predictions. For voxels with fractional anisotropies (FAs) exceeding 0.5, all three are reasonably consistent with FBI. However, for lower FA values, one of these, called the white matter tract integrity (WMTI) model, is found to be in much better accord with FBI than the other two, suggesting that the WMTI model has a broader range of applicability.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Encéfalo
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Interpretação de Imagem Assistida por Computador
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Imagem de Difusão por Ressonância Magnética
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Imagem de Tensor de Difusão
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Substância Branca
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Modelos Neurológicos
Tipo de estudo:
Diagnostic_studies
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Evaluation_studies
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Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
NMR Biomed
Ano de publicação:
2017
Tipo de documento:
Article