Description Usage Arguments Details Value Author(s) Examples
View source: R/getMultivariateTemplateCoordinates.R
This function will provide a mapping that labels the list of input images and each of their blobs.
1 2 3 4 5 6 7 8 9 10 11 | getMultivariateTemplateCoordinates(
imageSetToBeLabeledIn,
templateWithLabels,
labelnames = NULL,
outprefix = NA,
convertToTal = FALSE,
pvals = NA,
threshparam = 1,
clustparam = 250,
identifier
)
|
imageSetToBeLabeledIn |
a template paired with (most likely) the output of a multivariate sparse decomposition or (alternatively) could be just a statistical map with zeroes in non-interesting areas |
templateWithLabels |
e..g the mni image and brodmann label set |
labelnames |
a list of names for the labels |
outprefix |
if output to a file, provide file prefix |
convertToTal |
bool, return talairach coordinates |
pvals |
the already computed pvalue for each component |
threshparam |
for pvals |
clustparam |
for clusters |
identifier |
unique ID for this study |
Uses getTemplateCoordinates as a sub-routine.
TBN
The output point coordinates are in approximate Talairach / MNI (or whatever) template space.
Avants, BB
1 2 3 4 5 6 7 8 9 10 11 12 13 | ## Not run:
tem<-antsImageRead( getANTsRData("ch2") )
temlab<-antsImageRead( getANTsRData("ch2b") )
temlab2<-antsImageRead( getANTsRData("ch2a") )
# try getANTsRData if you have www access
mymni<-list( antsImageRead(getANTsRData("mni"),3),
antsImageRead(getANTsRData("mnib"),3),
antsImageRead(getANTsRData("mnia"),3) )
mytem<-list( smoothImage(tem,3) ,temlab,temlab2)
# mynetworkdescriptor<-getMultivariateTemplateCoordinates(
# mytem, mymni , convertToTal = TRUE , pvals=c(0.01,0.05) )
## End(Not run)
|
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