This category includes tools for quantification of different general image statistics.
Compute Cross Sectional Area: This program can be used to compute cross sectional areas of structures in the input label map image. The cross-sectional area is computed with respect to the axial plane. The algorithm proceeds by tallying all voxels of various types in the label map. The tally for each entity is then multiplied by the in-plane (axial) spacing value to give the cross sectional areas. Quantities are printed to std out. [Code]
Compute Intensity Statistics: This program is used to compute intensity statistics for chest-region chest-type pairs. For every pair present in the input label map, the mean, min, max, median, and standard deviation are computed. The results are printed to the command line. [Code]
Evaluate Lung Lobe Segmentation Results: This program calculates a similarity measure between 2 CT images in a region specified by a label map. It takes as input the 2 CT images and their corresponding label maps, and a transformation file, and appends the values of the similarity metric to an existing xml file if one is provided. [Code]
Generate Region Histograms And Parenchyma Phenotypes: This program computes regional histograms and typical parenchyma phenotypes for emphysema assessment and other parenchymal abnormalities. [Code]
Get Transformation Kappa: This program *************** [Code]
Get Transformation Kappa 2D: This program calculates a similarity measure between 2 CT images in a region specified by a label map. It takes as input the 2 CT images and their corresponding label maps, and a transformation file, and appends the values of the similarity metric to an existing xml file if one is provided. [Code]
Get Transformation Similarity Metric: This program calculates a similarity measure between 2 CT images in a region specified by a label map. [Code]
Label Particles By Chest Region Chest Type: This program labels particles datasets by chest region and chest type. [Code]
Read Write Image Data: This simple program reads and writes images, either label maps or CT images. It is useful for renaming (obviating the need to need to manually modify headers. [Code]