R: Simulation of Curved Fibre Bundles for von Mises-Fisher Fibre...
simul.fandtasia
R Documentation
Simulation of Curved Fibre Bundles for von Mises-Fisher Fibre Orientation Mapping
Description
The synthesized field of diffusion profiles generated by simul.fandtasia are used to reconstruct ODF profiles using the GQI method.
ODF profiles and fibre directions are estimated by relying on von Mises-Fisher (vMF) distributions for directional mapping.
method of ODF reconstruction to use c("gqi", "gqi2") (default: "gqi").
gridsz
dimension of squared grid to use in simulation (default 32)
b
strength of the magnetic diffusion gradient (default b-value=4000).
depth
sampling densities on the hemisphere used in simulation (default N=321; depth=3).
sigma
Rician noise level used in simulation; (default 0.01).
clusterthr
thresholding orientations based on ODF values at each voxel for directional clustering (default: 0.6).
showglyph
logical variable controlling visualization of voxel glyphs (default: FALSE).
savedir
directory for saving/loading processed results (default: tempdir().
...
optional specification of non-default control parameters as detailed in movMF.
Details
Noisy profiles may be simulated by adding Rician noise to the simulated diffusion profile, with a user defined standard deviation level specified as σ (SNR=1/σ).
The procedure is adapted from Barmpoutis' code to generate synthetic tensor diffusion-weighted MRI fields.
The procedure is very time intensive for grids of size 32x32.
Value
simul.fandtasia 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. Computational Representation of White Matter Fiber Orientations, International Journal of Biomedical Imaging, Vol. 2013, Article ID 232143, Hindawi Publishing Corporation http://dx.doi.org/10.1155/2013/232143.
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 0.1-0.
## Not run:
## simulation with a new generated field of profiles,
## of size 16x16 (for speed), with added noise
simul.fandtasia(gridsz=16, sigma=0.01)
simul.fandtasia(gdi="gqi2", gridsz=16, sigma=0.01)
## same as before, but showing crossing-fibre glyphs
simul.fandtasia(gridsz=16, sigma=0.01, showglyph=TRUE)
simul.fandtasia(gdi="gqi2", gridsz=16, sigma=0.01, showglyph=TRUE)
## using a 32x32 data field as in the original reference
## Warning: time-consuming example
simul.fandtasia()
## speeded up approximations: hardmax and numeric kappa
simul.fandtasia(gridsz=16, sigma=0.01, E="hardmax", kappa=20)
## End(Not run)