Documentation/Nightly/Modules/LSSegmenter

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Home < Documentation < Nightly < Modules < LSSegmenter


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Introduction and Acknowledgements

Extension: LesionSpotlight
Webpage: http://dcm.ffclrp.usp.br/csim/
Author: Antonio Carlos da S. Senra Filho, CSIM Laboratory (University of Sao Paulo, Department of Computing and Mathematics)
Contact: Antonio Carlos da S. Senra Filho, <email>acsenrafilho@usp.br</email>

CSIM Laboratory  
University of Sao Paulo  
CAPES Brazil  

Module Description

This module offer a simple application ...

Use Cases

  • Use Case 1:
    • Something.


Panels and their use

User Interface

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

  1. 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