Difference between revisions of "Documentation/Nightly/Extensions/Slicer ASLtoolkit"
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− | ASL toolkit is a library that was designed to assist users to process Arterial Spin Labeling (ASL) MRI images, since basic imaging protocols until the state-of-art models provided in the scientific literature. | + | The ASL toolkit is a library that was designed to assist users to process Arterial Spin Labeling (ASL) MRI images, since basic imaging protocols until the state-of-art models provided in the scientific literature. |
The major objective of this project is to give an open-source alternative to researchers in the MRI field. However, a profound knowledge of computing and data modeling is not a prior demand. It is expected that a simple set of python commands can be helpful to fast prototyping an ASL experiment or even collect simple quantitative ASL-based information. | The major objective of this project is to give an open-source alternative to researchers in the MRI field. However, a profound knowledge of computing and data modeling is not a prior demand. It is expected that a simple set of python commands can be helpful to fast prototyping an ASL experiment or even collect simple quantitative ASL-based information. | ||
This module was created in 3D Slicer to be another alternative to use the asltk framework, using a simple and quick-to-use graphical interface. The general usage here is basically the same pattern as using the python tool provided at `asltk` library. Further details can be found at the asltk official documentation. | This module was created in 3D Slicer to be another alternative to use the asltk framework, using a simple and quick-to-use graphical interface. The general usage here is basically the same pattern as using the python tool provided at `asltk` library. Further details can be found at the asltk official documentation. | ||
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+ | All the project is maintained as an open-source initiative and further assistance in coding maintance and new features can be create by a community of developers. To follow the updates or even help the project, please visit the official asltk website. | ||
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Latest revision as of 15:03, 4 October 2024
Home < Documentation < Nightly < Extensions < Slicer ASLtoolkit
For the latest Slicer documentation, visit the read-the-docs. |
Introduction and Acknowledgements
This work was funded by State University of Campinas, Sao Paulo, Brazil. | |||||
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Extension Description
The ASL toolkit is a library that was designed to assist users to process Arterial Spin Labeling (ASL) MRI images, since basic imaging protocols until the state-of-art models provided in the scientific literature.
The major objective of this project is to give an open-source alternative to researchers in the MRI field. However, a profound knowledge of computing and data modeling is not a prior demand. It is expected that a simple set of python commands can be helpful to fast prototyping an ASL experiment or even collect simple quantitative ASL-based information.
This module was created in 3D Slicer to be another alternative to use the asltk framework, using a simple and quick-to-use graphical interface. The general usage here is basically the same pattern as using the python tool provided at `asltk` library. Further details can be found at the asltk official documentation.
All the project is maintained as an open-source initiative and further assistance in coding maintance and new features can be create by a community of developers. To follow the updates or even help the project, please visit the official asltk website.
Modules
- CBF ATT Mapping: CBF ATT Mapping
- MultiTE ASL Mapping: MultiTE ASL Mapping
Use Cases
Most frequently used for these scenarios:
- Use Case 1:
- Create the basic CBF and ATT maps using the pCASL ASL MRI imaging protocol
- Use Case 2:
- Create the T1 relaxation time exchange between blood and csf, as presented at Leonie Petitclerc, et al. (2021).
- CBFMap.png
CBF map
- ATTMap.png
ATT map
- T1BlGM-multiTE.png
MultiTE-ASL T1 blood-GM map
References
- Leonie Petitclerc, et al. "Ultra-long-TE arterial spin labeling reveals rapid and brain-wide blood-to-CSF water transport in humans", Neuroimage (2021). DOI: 10.1016/j.neuroimage.2021.118755
Information for Developers
Section under construction. |
Repositories:
- Source code: GitHub repository
- Issue tracker: open issues and enhancement requests