## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----setup-------------------------------------------------------------------- library(neuroSCC) ## ----------------------------------------------------------------------------- niftiFile <- system.file("extdata", "syntheticControl1.nii.gz", package = "neuroSCC") # Load and clean data using neuroCleaner petData <- neuroCleaner(niftiFile) # Inspect the data head(petData) str(petData) ## ----------------------------------------------------------------------------- # Create database for control subjects controlPattern <- "^syntheticControl.*\\.nii.gz$" databaseControls <- databaseCreator(pattern = controlPattern, control = TRUE, quiet = FALSE) # Inspect the created database head(databaseControls) table(databaseControls$CN_number) ## ----------------------------------------------------------------------------- # Create matrix for Z-slice 35 matrixControls <- matrixCreator(databaseControls, paramZ = 35, quiet = FALSE) # Inspect matrix structure dim(matrixControls) str(matrixControls) ## ----------------------------------------------------------------------------- # Perform mean normalization normalizedMatrix <- meanNormalization(matrixControls, returnDetails = FALSE) ## ----fig.alt="Contours for brain imaging data"-------------------------------- # Extract contours from sample data contours <- neuroContour(niftiFile, paramZ = 35, levels = 0, plotResult = TRUE) # Check contours structure length(contours) str(contours[[1]]) ## ----fig.alt="Delaunay triangulations for brain imaging data", eval = requireNamespace("ImageSCC", quietly = TRUE)---- if (!requireNamespace("Triangulation", quietly = TRUE)) { cat("Triangulation package is not installed.\nInstall it using: remotes::install_github('FIRST-Data-Lab/Triangulation')\n") } else { # Perform triangulation with the first contour mesh <- Triangulation::TriMesh(n = 15, contours[[1]]) # Inspect mesh print(mesh[["V"]][1:10, ]) print(mesh[["Tr"]][1:10, ]) }