simul.fandtasiaSignal: Simulation of Crossing-Fibre Diffusion Profiles

In gdimap: Generalized Diffusion Magnetic Resonance Imaging

Description

simul.fandtasiaSignal generates a synthesized field of diffusion profiles following Barmpoutis's algorithm.

Usage

simul.fandtasiaSignal(g, gridsz=32, b=4000, sigma=NULL, savedir=tempdir())

Arguments

g	matrix of 3D points on the S2 shell used in simulation.
gridsz	dimension of squared grid to use in simulation (default 32).
b	strength of the magnetic diffusion gradient (default b-value=4000).
sigma	Rician noise level used in simulation; (default NULL).
savedir	directory for saving/loading processed results (default: tempdir()).

Details

The diffusion field simulates a field of dimension gridsz x gridsz of diffusion profiles for testing crossing fibre orientation mapping. The procedure simul.fandtasiaSignal is an adaptation of Barmpoutis' MATLAB code to generate synthetic tensor diffusion-weighted MRI fields.

Value

simul.fandtasiaSignal returns a field of 32x32 diffusion profiles in NIfTI format.

Author(s)

Adelino Ferreira da Silva, Universidade Nova de Lisboa, Faculdade de Ciencias e Tecnologia, Portugal, afs at fct.unl.pt

References

Ferreira da Silva, A. R. Facing the Challenge of Estimating Human Brain White Matter Pathways. In Proc. of the 4th International Joint Conference on Computational Intelligence (Oct. 2012), K. Madani, J. Kacprzyk, and J. Filipe, Eds., SciTePress, pp. 709-714.

Hornik, K., and Gruen, B. movMF: Mixtures of von Mises-Fisher Distributions, 2012. R package version 0.0-2.

Barmpoutis, A. Tutorial on Diffusion Tensor MRI using Matlab. Electronic Edition, University of Florida, 2010,
http://www.mathworks.com/matlabcentral/fileexchange/file_infos/26997-fandtasia-toolbox.

See Also

simul.fandtasia, simul.simplefield

Examples

## Not run: 
    ## shell grid
    s2 <- s2tessel.zorder(depth=3) 
    simul.fandtasiaSignal(g=s2$pc, gridsz=16, sigma=0.01)

## End(Not run)

gdimap documentation built on May 2, 2019, 8:52 a.m.