get.region <- function (acronym, registration)
{
coordinate <- registration$coordinate
k <- which(abs(coordinate - atlasIndex$mm.from.bregma) ==
min(abs(coordinate - atlasIndex$mm.from.bregma)))
plate.info <- EPSatlas$plate.info[[k]]
get.outline <- function(acronym) {
id <- id.from.acronym(acronym)
index <- match(id, plate.info$structure_id, nomatch=0)
if (index == 0) {
region <- data.frame(xT = 0, yT = 0, x = 0, y =0,
right.hemisphere = 0)
}
else {
region <- registration$atlas$outlines[index]
region <- data.frame(xT = c(region[[1]]$xlT, region[[1]]$xrT),
yT = c(region[[1]]$ylT, region[[1]]$yrT), x = c(region[[1]]$xl,
region[[1]]$xr), y = c(region[[1]]$yl, region[[1]]$yr),
right.hemisphere = c(rep(FALSE, length(region[[1]]$xl)),
rep(TRUE, length(region[[1]]$xr))))
region <- data.frame(region, name = rep(acronym,
nrow(region)))
}
return(region)
}
if (length(acronym) == 1) {
region <- get.outline(acronym)
}
else {
region <- lapply(acronym, get.outline)
region <- do.call("rbind", region)
}
if (length(region) > 1)
scale.factor <- mean(dim(registration$transformationgrid$mx)/c(registration$transformationgrid$height,
registration$transformationgrid$width))
region[, 1:4] <- region[, 1:4] * (1/scale.factor)
return(region)
}
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