Description Usage Arguments Details Value Author(s) References See Also Examples
View source: R/sph.odfpeaklines.R
sph.odfpeaklines
produces line-maps of ODF profiles for diffusion data slices using
a regularized spheric harmonics method for ODF reconstruction.
1 2 3 4 |
run |
logical variable enabling loading previously processed data (default: |
fbase |
Directory where the required input data files are located. |
roi |
Region of Interest (ROI) to use as mask; default mask ( |
rg |
range of slices to process (default option |
btoption |
b-table selection between ‘btable.txt’ ( |
swap |
toggle radiological/neurological orientation (default: |
threshold |
thresholding generalized fractional anisotropy (GFA) value at each voxel (default: 0.4). |
kdir |
maximum number of fibre directions to map (default: 2). |
zfactor |
parameter controlling z-value in relief overlay maps (default: 5). |
showglyph |
logical variable controlling visualization of voxel glyphs (default: |
showimage |
object controlling visualization of line-maps (default: |
bview |
MRI slice view selection in { |
savedir |
directory for saving/loading processed results (default: |
bg |
map background colour (default |
order |
parameter associated with the order of the spherical harmonics approximation (default: 4). |
texture |
name of the PNG file to be used as RGB map overlay in some 'showimage' options (default |
... |
additional material properties for geometry appearance as specified in |
The identification of fibre directions is performed by extracting the local maxima of the reconstructed ODF, where this function surpasses a certain threshold.
The Q-ball reconstruction method with Aganj regularization as implemented in dti (Tabelow and Polzehl) is used for orientation distribution function (ODF) reconstruction.
sph.odfpeaklines
implements the standard method of fibre orientation detection.
Local maxima of the reconstructed ODF are located simply by selecting a large number of sampled points on the sphere and searching within a fixed radius neighbourhood.
For a single main fibre orientation the method performs well.
However, for crossing fibres and other complex fibre configurations the peaks of the ODF profiles identified by the methods do not necessarily match the orientations of the distinct fibre populations.
A more robust method is implemented in sph.odfvmflines
.
Starting with the raw high angular resolution diffusion signal acquired on a S2-shell of q-space, the ODF profile is reconstructed at each voxel, considering a sampling density of unit vectors on a unit S2 shell. Q-ball imaging (QBI) is used for orientation distribution function (ODF) reconstruction. For comparison with GQI, the b-table ‘btable.txt’ has been used in the examples. This b-table has 203 points distributed on a S2-shell.
Slice map display and overlay selection is controlled by specifying one the arguments
c("none", "gfa", "lines", "linesgfa", "linesrgbmap", "linesdata")
for showimages
.
Meanings are as follows:
"none"
- no visualization;
"gfa"
- GFA map only;
"lines"
- line map only;
"linesgfa"
- GFA overlayed on line map;
"linesrgbmap"
- lines overlayed on RGB map (if available);
"linesdata"
- ‘data_brain.nii.gz’ is overlayed on line map.
sph.odfpeaklines
produces line-maps of ODF profiles for diffusion data slices.
The line-maps may be overlayed with generalized fractional anisotropy (GFA) relief maps, diffusion data maps or ROI maps.
The file ‘V1list.RData’ containing the first main orientation directions for all processed voxels is output for further posterior orientation processing.
Adelino Ferreira da Silva, Universidade Nova de Lisboa, Faculdade de Ciencias e Tecnologia, Portugal, afs at fct.unl.pt
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.
Tuch D. S., Q-Ball Imaging, Magnetic Resonance in Medicine 52 (2004), 1358-1372.
Tabelow K., Polzehl J.: dti: DTI/DWI Analysis, 2012. R package version 1.1-0.
sph.odfpeaks
,
sph.odfvmf
,
sph.odfvmflines
,
gqi.odfvxgrid
,
s2tessel.zorder
,
plotglyph
,
rgbvolmap
,
simulglyph.vmf
,
simul.fandtasia
,
simul.simplefield
,
data
,
data.bval
,
data.bvec
,
btable
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | ## Not run:
##-------------
## Line map using ODF peak detection
sph.odfpeaklines(run=TRUE, showimage="lines")
## display line-map overlayed on GFA map
sph.odfpeaklines(run=FALSE, showimage="linesgfa")
##-------------
## Show examples of reconstructed glyphs in ODF processing
sph.odfpeaklines(showimage="lines", showglyph=TRUE)
##------------
## using a ROI overlay
sph.odfpeaklines(roi="slfcst.nii.gz", showimage="linesgfa")
## using data overlay
sph.odfpeaklines(showimage="linesdata")
## End(Not run)
|
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