Statistics in ROI - generic

Computes simple statistics on one or more images from region of interest.

Description

This process allows to compute simple statistics in images according to a mask or a set of labels. Several images can be used as input, but only one ROI file can be used at a time.

Images and ROI files have to be in the same space to return meaning values (ex: in MNI space).

Features computed

For each label in the ROI image, several values are output by the process:

• mean of the values in the ROI
• volume of the ROI
• the median value in the ROI
• the standard deviation (stddev) of the image in the ROI
• minimum value of the image in the ROI
• maximum value of the image in the ROI
• the total value of the image measured in the ROI (point_count)

Parameters

images: ListOf( 4D Volume ) ( input )

List of images to make measures on

ROI: 4D Volume ( input )

ROI or mask image

translation: Any Type ( optional, input )

JSON file which contains names of ROI values

statistics_csv: CSV file ( output )

statistics: ListOf( Choice ) ( input )

Output file as a csv file which contains results for all images

Technical information

Toolbox : Tools

User level : 0

Identifier : stats_in_roi_generic

File name : brainvisa/toolboxes/tools/processes/roi/stats_in_roi_generic.py

Supported file formats :

images :

gz compressed NIFTI-1 image, NIFTI-1 image, gz compressed NIFTI-1 image

ROI :

gz compressed NIFTI-1 image, NIFTI-1 image, gz compressed NIFTI-1 image

translation :

JSON file, JSON file

statistics_csv :

CSV file, CSV file