Documentation/Nightly/Modules/LSSegmenter
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Introduction and Acknowledgements
Extension: LesionSpotlight | |||||||
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Module Description
This module offer a simple application ...
Use Cases
- Use Case 1:
- Something.
- LSSegmenter FLAIR.png
Input T2-FLAIR image with multiple sclerosis lesions
- LSSegmenter Label.png
Lesion map resulted from LSSegmenter module
Panels and their use
IO:
- Input Volume
- Select the input image
- Output Volume
- Set the output image file which the filters should place the final result
... Parameters:
- Conductance
- The conductance regulates the diffusion intensity in the neighbourhood area. Choose a higher conductance if the input image has strong noise seem in the whole image space.
- See the reference paper[1] to choose the appropriate q value (at moment, only tested in MRI T1 and T2 weighted images).
Similar Modules
References
- paper
Information for Developers
Section under construction. |
- ↑ 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