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Atlas Based Classification
Atlas Based Classification
Module Type & Category
Authors, Collaborators & Contact
- Marcel Prastawa, Utah
- Guido Gerig, Utah
- Contact: Marcel Prastawa, prastawa at sci.utah.edu
ABC (Atlas Based Classification) is a full segmentation pipeline developed and used at University of North Carolina and University of Utah for healthy brain MRIs. The processing pipeline includes image registration, filtering, and inhomogeneity correction.
Examples, Use Cases & Tutorials
The software is designed and tested for healthy brain MRI (pediatric - adult).
The processing involved in the module is not designed for interactive use. It may take up to 30 minutes to 1 hour for processing a dataset. Speed-ups are possible by modifying the advanced parameters and disabling the bias correction and deformable registration of the atlas.
Quick Tour of Features and Use
|* Input Panel
Specify the input images representing the different modalities of the same subject (up to five). First image in the list is the reference image space. All other images are registered to first image. Intra-subject registration can be disabled in the advanced setting by choosing the identity transform type.
|* Atlas Panel
Specify the atlas information. The atlas is represented as a directory that contains the template file (template.mha), and the prior probabilities (1.mha, ..., 999.mha) The atlas orientation specifies the code for the different axes ([R]ight-[L]eft, [A]nterior-[P]osterior, [I]nferior-[S]uperior): RAI, ASR, LPS, etc. If the image orientation matrix is embedded in the image, you can simply specify "file" as the orientation code. The prior weight can be adjusted globally (e.g., if one class overwhelms the other it can be set a lower weight) through comma separated numbers. You must specify the same amount of numbers as the amount of priors in the atlas directory.
|* Output Panel
Specify where to store the output files (optional), this includes the segmentation label image, and bias corrected images.
|* Advanced Panel
Advanced parameters for registration and bias correction. You can adjust the type of linear transformation for the alignment of the intra-subject modalities and the subject-template. Bias correction polynomial degree adjust the severity of the bias field in your images, and this part can be disabled by setting it to zero. The amount of deformation of the atlas is controlled by the number of iterations in the fluid flow, and setting it to zero will disable the atlas deformation component.
Follow this link to the bug tracker at NITRC.
Source code & documentation
Available at NITRC