Description Usage Arguments Value Author(s) Examples
Employs a robust regression approach to learn the relationship between a sample image and a list of images that are mapped to the same space as the sample image.
1 2 3 4 5 6 7 8 9 10 11 | bayesianCBF(
pcasl,
segmentation,
tissuelist,
myPriorStrength = 30,
useDataDrivenMask = 3,
denoisingComponents = 1:8,
robustnessvalue = 0.95,
localweights = FALSE,
priorBetas = NA
)
|
pcasl |
img antsImage for cbf |
segmentation |
image, should cover the brain. |
tissuelist |
a list containing antsImages eg list(prob1,...,probN) |
myPriorStrength |
- e.g 30 |
useDataDrivenMask |
- morphology parameters e.g. 3 |
denoisingComponents |
- data-driven denoising parameters |
robustnessvalue |
- value (e.g. 0.95) that throws away time points |
localweights |
Use estimate of voxel-wise reliability to inform prior weight? |
priorBetas |
prior betas for each tissue and predictor |
estimated cbf image
Brian Beaumont Avants and Benjamin M. Kandel
1 2 3 4 5 | ## Not run:
set.seed(123)
# see fMRIANTs github repository for data and I/O suggestions
## End(Not run)
|
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