| dtiIndices-class {dti} | R Documentation |
Fractional Anisotropy indices and main directions of anisotropy derived from a diffusion tensor
Objects can be created by calls of function dtiIndices.
.Data:"list" usually empty fa:"array" Fractional anisotropy values (FA)md:"array" Mean diffusivity values (MD) andir:"array" Main directions of anisotropy bary:"array" barycentric coordinates btb:"matrix" matrix of dimension c(6,ngrad) obtained from gradient directions.ngrad:"integer" number of gradients (including zero gradients) s0ind:"integer" index of zero gradients within sequence 1:ngrad replind:"integer" index (identifier) of unique
gradient directions. Used to charactreize replications in the gradient design by identical indices. length is ngradlevel:"numeric" minimal valid s0-level.
No evaluation was be performed for voxel with s0-values less than level. Used to determine mask.ddim:"integer" dimension of original image cubes. Integer vector of length 3. ddim0:"integer" dimension of subcube defined by xind, yind and zind. xind:"integer" index for subcube definition in x-direction yind:"integer" index for subcube definition in y-direction zind:"integer" index for subcube definition in z-direction voxelext:"numeric" voxel extensions in x-, y- and z-direction. vector of length 3. method:"character" either "linear" or "nonlinear" or "unknown". Indicates the regression model used for estimating the tensors.source:"character" name of the imgfile used to create the data.
Class "list", from data part.
Class "dti", directly.
Class "vector", by class "list", distance 2.
signature(x = "dtiIndices"): 2D Visualization for a specified slice. Karsten Tabelow tabelow@wias-berlin.de, J"org Polzehl polzehl@wias-berlin.de
K. Tabelow, J. Polzehl, H.U. Voss, and V. Spokoiny. Diffusion Tensor Imaging: Structural adaptive smoothing, NeuroImage 39(4), 1763-1773 (2008).
http://www.wias-berlin.de/projects/matheon_a3/
dtiData,dtiTensor,dti.smooth, dti, dtiData, dtiTensor
showClass("dtiIndices")
## Not run: demo(dti_art)