civet.readAllCivetFiles: Read all CIVET files into R

In Mouse-Imaging-Centre/RMINC: Statistical Tools for Medical Imaging NetCDF (MINC) Files

Read all CIVET files into R

Description

Parses outputs from CIVET pipeline

Usage

civet.readAllCivetFiles(atlasFile, gf, civetVersion = "1.1.12")

Arguments

atlasFile	Character path to a key to the atlas used when running civet. the key should be a comma separated file with a header and the following form Column 1: Numeric label Column 3: Corresponding structure
gf	Data Frame containing list of all CIVET file names, and where results will be stored requires gf to have an element (column) called CIVETFILES which is a data.frame containing paths to the civetFiles, typically generated with civet.getAllFilenames
civetVersion	The version of CIVET that produced the files.

Details

Prior to running, civet.getAllFilenames may be called to generate the input argument gf . This function will extract the following information from the CIVET pipeline: Lobe Area (40 mm), Lobe Thickness, Lobe Volume, GI, Mid Surface Native Area, Surface Native Volume, Brain Volume Native RMS RSL tLink (20mm), Native RMS tLink (20 mm)

Value

Returns gf augmented with additional columns containing

• lobeArea40mm: A subjects by region matrix of lobe areas parcellated by atlas region

• lobeThickness: As above, but for thicknesses

• lobeVolume: As above, but for volumes

• GI: A subjects by 6 matrix. 6 columns are left hemisphere gyrification indices for the gray matter surface, white matter surface, midsurface of the two, followed by the same indices for the two

• BrainVolume: A subjects by 3 matrix. Three columns are CSF volume, grey matter and white matter respectively

• midSurfaceNativeArea: A subjects by vertices matrix of mid-surface areas

• SurfaceNativeVolume: As above, but for native space volumes

• nativeRMS_RSLtlink20mm: As above, but for RMS_RSL tlink 20mm thicknesses

• nativeRMStlink20mm: As above, but for RMS tlink 20mm thicknesses

See Also

civet.getAllFilenames

Examples

## Not run: 
getRMINCTestData() 
gf = read.csv("/tmp/rminctestdata/CIVET_TEST.csv")
gf = civet.getAllFilenames(gf,"ID","TEST","/tmp/rminctestdata/CIVET", TRUE, "1.1.12")
gf = civet.readAllCivetFiles("/tmp/rminctestdata/AAL.csv",gf)

## End(Not run)

Mouse-Imaging-Centre/RMINC documentation built on Nov. 12, 2022, 1:50 p.m.