timeseriesN3.Rd
Repeatedly run N3 on slices of time series and return image
timeseriesN3(boldimg, mask, ncorrections = c(2, 2))
boldimg | input matrix |
---|---|
mask | mask to use |
ncorrections | levels at which to apply n3 |
antsImage is output
Avants BB
bold<-makeImage( c(10,10,10,4), rnorm(4000) ) mask<-getMask( getAverageOfTimeSeries( bold ) ) boldn3<-timeseriesN3( bold, mask, c(4,2) )