Optimization of data acquisition and analysis for fiber ball imaging.
Neuroimage
; 200: 690-703, 2019 10 15.
Article
em En
| MEDLINE
| ID: mdl-31284026
ABSTRACT
The inverse Funk transform of high angular resolution diffusion imaging (HARDI) data provides an estimate for the fiber orientation density function (fODF) in white matter (WM). Since the inverse Funk transform is a straightforward linear transformation, this technique, referred to as fiber ball imaging (FBI), offers a practical means of calculating the fODF that avoids the need for a response function or nonlinear numerical fitting. Nevertheless, the accuracy of FBI depends on both the choice of b-value and the number of diffusion-encoding directions used to acquire the HARDI data. To inform the design of optimal scan protocols for its implementation, FBI predictions are investigated here with in vivo data from healthy adult volunteers acquired at 3â¯T for b-values spanning 1000 to 10,000â¯s/mm2, for diffusion-encoding directions varying in number from 30 to 256 and for TE ranging from 90 to 120â¯ms. Our results suggest b-values above 4000â¯s/mm2 with at least 64 diffusion-encoding directions are adequate to achieve reasonable accuracy with FBI for calculating axon-specific diffusion measures and for performing WM fiber tractography (WMFT).
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Axônios
/
Imagem de Difusão por Ressonância Magnética
/
Neuroimagem
/
Substância Branca
Tipo de estudo:
Guideline
/
Prognostic_studies
Limite:
Adult
/
Humans
Idioma:
En
Revista:
Neuroimage
Assunto da revista:
DIAGNOSTICO POR IMAGEM
Ano de publicação:
2019
Tipo de documento:
Article
País de afiliação:
Estados Unidos