Description Usage Arguments Details Value See Also Examples
Extract the normalization values from a MRIaggr
object.
1 2 3 |
object |
an object of class |
type |
the type of normalization. Must be on of |
mu |
should the centering values for the normalization be returned. logical. Active only if |
sigma |
should the scaling values for the normalization be returned. logical. Active only if |
num |
the slices to extract. numeric vector or |
hemisphere |
the hemisphere to extract. character. |
param |
the contrast parameters for which the normalization values should be extracted. character vector or |
ARGUMENTS:
Information about the num
argument can be found in the details section of initNum
.
Information about the hemisphere
argument can be found in the details section of selectContrast
.
A data.frame or a list.
calcNormalization
to compute and allocate the normalisation values.
allocNormalization<-
to alloacte the normalization values when obtained from an external source.
calcHemisphere
to identify the hemispheres.
allocHemisphere<-
and allocContrast<-
to allocate hemispheres obtained from an external source.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | ## load a MRIaggr object
data("MRIaggr.Pat1_red", package = "MRIaggr")
## select all normalization values
res <- selectNormalization(MRIaggr.Pat1_red)
names(res)
## select specific normalization normalization values
# computed on the whole brain
res <- selectNormalization(MRIaggr.Pat1_red, type = "global",
mu = TRUE, sigma = FALSE, hemisphere = "both")
# idem but only for DWI_t0
res <- selectNormalization(MRIaggr.Pat1_red, type = "global",
mu = TRUE, sigma = FALSE, param = "DWI_t0")
# computed by slice
res <- selectNormalization(MRIaggr.Pat1_red, type="slice",
mu = TRUE,sigma = FALSE, hemisphere = "both")
# idem for slice 1
res <- selectNormalization(MRIaggr.Pat1_red, type = "slice",
mu = TRUE, sigma = FALSE, num = 1)
# computed on 3 consecutive slices
res <- selectNormalization(MRIaggr.Pat1_red, type = "3slices", mu = FALSE, sigma = TRUE,
hemisphere = "left", num = 2, param = "T2_FLAIR_t2")
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