Probabilistic shortest path tractography in DTI using Gaussian Process ODE solvers.
Med Image Comput Comput Assist Interv
; 17(Pt 3): 265-72, 2014.
Article
em En
| MEDLINE
| ID: mdl-25320808
ABSTRACT
Tractography in diffusion tensor imaging estimates connectivity in the brain through observations of local diffusivity. These observations are noisy and of low resolution and, as a consequence, connections cannot be found with high precision. We use probabilistic numerics to estimate connectivity between regions of interest and contribute a Gaussian Process tractography algorithm which allows for both quantification and visualization of its posterior uncertainty. We use the uncertainty both in visualization of individual tracts as well as in heat maps of tract locations. Finally, we provide a quantitative evaluation of different metrics and algorithms showing that the adjoint metric (8] combined with our algorithm produces paths which agree most often with experts.
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Base de dados:
MEDLINE
Assunto principal:
Algoritmos
/
Encéfalo
/
Reconhecimento Automatizado de Padrão
/
Interpretação de Imagem Assistida por Computador
/
Imagem de Tensor de Difusão
/
Conectoma
/
Fibras Nervosas Mielinizadas
Tipo de estudo:
Diagnostic_studies
Limite:
Humans
Idioma:
En
Revista:
Med Image Comput Comput Assist Interv
Assunto da revista:
DIAGNOSTICO POR IMAGEM
/
INFORMATICA MEDICA
Ano de publicação:
2014
Tipo de documento:
Article