Modules:AtlasCreator
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AtlasCreator
General Information
Module Type & Category
Type: Built-in Loadable Module
Category: Registration
Authors, Collaborators & Contact
- Daniel Haehn, University of Pennsylvania
- Kilian Pohl, University of Pennsylvania
- Contact: Daniel Haehn (haehn@bwh.harvard.edu)
Module Description
The Atlas Creator module aligns images paired with segmentations to generate statistical atlases for several segmented structures.
The module supports:
- BRAINSFit/CMTK/Congeal toolkits for Registration and Resampling
- Fixed Registration against a template or Dynamic Registration against a mean image
- Normalization of output atlases to a given value
- different Output Casts
- PCA Analysis
- Cluster Computation
- using existing Transforms and skipping the Registration (f.e. to re-run a previous generation)
Usage
This module supports different usage types and interfaces:
- Simple Atlas Creation
- The extended graphical user interface
- The command line interface
- External invocation using the Atlas Creator MRML Node
Use Cases, Examples
Input Data Requirements
The Atlas Creator expects input data to be structured the following way:
- In general each original image is accompanied by a manual segmentation.
- The images and the segmentations have to be in two different folders but have matching filenames.
- All images and segmentations have to be in Slicer-readable format.
- For Example:
- ./originals/case1.nrrd
- ./originals/case2.nrrd
- ./originals/case3.nrrd
- ./segmentations/case1.nrrd
- ./segmentations/case2.nrrd
- ./segmentations/case3.nrrd
HowTo: Simple Atlas Creation |
The following steps perform a Pair Fixed Registration against an automatic chosen template for automatically detected structures. |
1. Select the directories containing the Original Images and the Segmentations in the Input/Output panel. |
2. Select an Output Directory in the Input/Output panel. It makes sense to create a new directory to use for the Output. |
3. Hit Start! |
4. After some wait (minutes or hours!, depending on the number of input cases), the generated atlases and the used template will be loaded into 3D Slicer. |
Quick Tour of Features and Use
The Extended Graphical User Interface
The Atlas Creator provides additional features through an extended interface. This interface is divided into the Parameters panel and the Advanced panel.
A list panels in the interface, their features, what they mean, and how to use them. For instance:
|
The Command Line Interface
Beside using the graphical user interface in 3D Slicer, the Atlas Creator can be accessed using the commandline.
A help system is available:
$ cd Slicer3-release/lib/Slicer3/Modules/AtlasCreator/atlascreator.py $ python atlascreator.py --help AtlasCreator for 3D Slicer Version v0.4 Usage: -h, --help Show this information. -i, --images DIR Directory containing original images. -s, --segmentations DIR Directory containing segmentations. -o, --output DIR Output directory. --cmtk Use the CMTK toolkit for registration and resampling, instead of BRAINSFit. The CMTK4Slicer extensions have to be installed in order to use CMTK. --skipRegistration Skip the registration and use existing transforms. The following arguments have to be specified if the registration is skipped: --transforms DIR Directory containing existing transforms. --existingTemplate FILEPATH Filepath to an existing template used for resampling only. --dynamic Use a dynamic template for registration based on means of images. The following arguments have to be specified if dynamic registration is chosen: -m, --meanIterations INT Number of iterations to compute and register against a mean image. --fixed Use a fixed template for registration. The following arguments have to be specified if fixed registration is chosen: --template FILEPATH Filepath to an image used as a template for fixed registration. --ignoreTemplateSegmentation If activated, the template's segmentation will not be added to the atlases. -n, --non-rigid Use Non-Rigid registration additionally. -w, --writeTransforms Write transforms to output directory. --keepAligned Keep the aligned images and segmentations. -l, --labels STRING List of labels to include for the atlases, f.e. "3 4 5 6 8 10". DEFAULT: detect labels automatically --normalize Normalize Atlases to 0..1. If activated, the output cast will be set to Double. --normalizeTo INT The upper value to normalize the atlases to. DEFAULT: 1 --outputCast INT Output cast for the atlases. Possible values: 0: Char 1: Unsigned Char 2: Double 3: Float 4: Int 5: Unsigned Int 6: Long 7: Unsigned Long 8: Short 9: Unsigned Short DEFAULT: 8 -c, --cluster Use the cluster mode. The following arguments have to be specified if cluster mode is chosen: --schedulerCommand EXECUTABLE The executable to use as a scheduler in cluster mode, f.e. "qsub". --pca Perform PCA Analysis on top of Resampling. --pcaMaxEigenVectors INT The number of maximal Eigenvectors to use for model generation. DEFAULT: 10 --pcaCombine Combine the PCA output. --slicer FILEPATH Filepath to the 3D Slicer launcher including arguments, f.e. "/usr/bin/Slicer3 --tmp_dir /var/tmp". DEFAULT: Find the 3D Slicer launcher automatically. -d, --debug Enable debug information. --dryrun Output executable commands instead of running the registration or resampling. --examples Show usage examples. Developed by Daniel Haehn and Kilian Pohl, University of Pennsylvania. The research was funded by an ARRA supplement to NIH NCRR (P41 RR13218). Thanks to everyone!
Examples:
$ python atlascreator.py --examples AtlasCreator for 3D Slicer Version v0.4 Examples: ----------------------------------------------------------------------------------------------- 1. Run fixed registration with the testdata and normalize the atlases to 1: python atlascreator.py -i TestData/originals/ -s TestData/segmentations/ -o /tmp/acout --fixed --template TestData/originals/case62.nrrd -w -l "3 4 5 6 7 8 9" --normalize ----------------------------------------------------------------------------------------------- 2. Run fixed registration with the testdata and use CMTK instead of BRAINSFit and label auto-detection: python atlascreator.py -i TestData/originals/ -s TestData/segmentations/ -o /tmp/acout --fixed --template TestData/originals/case62.nrrd -w --cmtk ----------------------------------------------------------------------------------------------- 3. Run dynamic registration with the testdata and normalize the atlases to 0..100: python atlascreator.py -i TestData/originals/ -s TestData/segmentations/ -o /tmp/acout --dynamic --meanIterations 5 -w -l "3 4 5 6 7 8 9" --normalize --normalizeTo 100 ----------------------------------------------------------------------------------------------- 4. Run dynamic registration with the testdata on a cluster (scheduler command "qsub -l centos5"): python atlascreator.py -i TestData/originals/ -s TestData/segmentations/ -o /tmp/acout --dynamic --meanIterations 5 -w -l "3 4 5 6 7 8 9" --normalize --cluster --schedulerCommand "qsub -l centos5" ----------------------------------------------------------------------------------------------- 5. Use existing registrations and just re-sample python atlascreator.py --skipRegistration --transforms /tmp/acout --existingTemplate TestData/segmentations/case62.nrrd -s TestData/segmentations/ -o /tmp/acout -l "3 4 5 6 7 8 9" --normalize --outputCast 3
Development
Notes from the Developer(s)
Separate notes on the development are available on a separate page.
Dependencies
Tests
On the Dashboard, these tests verify that the module is working on various platforms:
- vtkMRMLAtlasCreatorNodeTest1 Modules/AtlasCreator/Cxx/Testing/vtkMRMLAtlasCreatorNodeTest1.cxx
- AtlasCreatorLaunchFixedTest Modules/AtlasCreator/Cxx/Testing/vtkMRMLAtlasCreatorNodeLaunchTest1.py
- AtlasCreatorLaunchFixedFailProofTest Modules/AtlasCreator/Cxx/Testing/vtkMRMLAtlasCreatorNodeLaunchTest2.py
- AtlasCreatorLaunchDynamicTest Modules/AtlasCreator/Cxx/Testing/vtkMRMLAtlasCreatorNodeLaunchTest3.py
Known bugs
Usability issues
Source code & documentation
Source code:
- Available in the 3D Slicer Trunk: Modules/AtlasCreator
Doxygen documentation:
More Information
Acknowledgment
The research was funded by an ARRA supplement to NIH NCRR (P41 RR13218).
The Atlas Creator module benefits from several different Toolkits: Thank you to Hans Johnson et al. for BRAINSFit, Torsten Rolfing et al. for CMTK and Jeremy De Bonet et al. for Congeal.