Documentation/Nightly/Extensions/LesionSimulator
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Introduction and Acknowledgements
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This work was partially funded by CAPES and CNPq, a Brazillian Agencies. Information on CAPES can be obtained on the CAPES website and CNPq website. | |||||||||
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Extension Description
Anomalous diffusion processes (ADP) are mathematically denoted by a power law in the Fokker-Planck equation, leading to the generalized form. There are several generalizations of the Fokker-Plank equation, which should give many different partial differential equations (PDEs). Here we adopt only the so-called porous media form, allowing the super-diffusive and the subdiffusive processes. [1] In porous media, channels are created promoting or blocking the flow of the density function, which has been proved to provide a suitable application on MRI filtering.[2]
Modules
Use Cases
Most frequently used for these scenarios:
- Use Case 1: a
- b
Raw T1 weighted MRI Image
T1 weighted MRI Image with AAD filter (q=1.2)
T1 weighted MRI Image with IAD filter (q=1.2)
DTI-FA map without image filtering process
DTI-FA map with AAD image filtering (q=0.4)
Similar Extensions
N/A
References
- paper
Information for Developers
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Section under construction. |
Repositories:
- Source code: GitHub repository
- Issue tracker: open issues and enhancement requests
- ↑ Tsallis, C. (2009). Introduction to Nonextensive Statistical Mechanics: Approaching a Complex World. Springer.
- ↑ Da S Senra Filho, A. C., Garrido Salmon, C. E., & Murta Junior, L. O. (2015). Anomalous diffusion process applied to magnetic resonance image enhancement. Physics in Medicine and Biology, 60(6), 2355–2373. doi:10.1088/0031-9155/60/6/2355
