Difference between revisions of "Documentation/Nightly/Extensions/LesionSimulator"

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This work was partially funded by CAPES and CNPq, a Brazillian Agencies. Information on CAPES can be obtained on the [http://www.capes.gov.br/ CAPES website] and [http://www.cnpq.br/ CNPq website].<br>
 
This work was partially funded by CAPES and CNPq, a Brazillian Agencies. Information on CAPES can be obtained on the [http://www.capes.gov.br/ CAPES website] and [http://www.cnpq.br/ CNPq website].<br>
 
Authors: Antonio Carlos da S. Senra Filho and Fabrício Henrique Simozo, CSIM Laboratory (University of Sao Paulo, Department of Computing and Mathematics)<br>
 
Authors: Antonio Carlos da S. Senra Filho and Fabrício Henrique Simozo, CSIM Laboratory (University of Sao Paulo, Department of Computing and Mathematics)<br>
Contacts: Antonio Carlos da S. Senra Filho <email>acsenrafilho@usp.br</email><br> - Fabrício Henrique Simozo <email>fsimozo@gmail.com</email><br>
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Contacts: Antonio Carlos da S. Senra Filho <email>acsenrafilho@usp.br</email> - Fabrício Henrique Simozo <email>fsimozo@gmail.com</email><br>
 
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Revision as of 19:51, 12 December 2016

Home < Documentation < Nightly < Extensions < LesionSimulator


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Introduction and Acknowledgements

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.
Authors: Antonio Carlos da S. Senra Filho and Fabrício Henrique Simozo, CSIM Laboratory (University of Sao Paulo, Department of Computing and Mathematics)
Contacts: Antonio Carlos da S. Senra Filho <email>acsenrafilho@usp.br</email> - Fabrício Henrique Simozo <email>fsimozo@gmail.com</email>

CSIM Laboratory  
University of Sao Paulo  
CNPq Brazil  
CAPES Brazil  


Extension Description

LesionSimulator-logo.png

This extension offer a set of tools for brain lesion simulation, based on MRI images. At moment, the module MS Lesion Simulator is available, where it can simulates both baseline scan lesion volumes (given a lesion load) and longitudinal image simulations. In summary, a statistical lesion database is generated based on a set of manual lesion mark-ups, being non-linearly registered to MNI152 space (isotropic 1mm of voxel resolution). Using a small set of parameters (lesion load, lesion homogeneity, lesion intensity indenpendence and lesion variability), it is possible to generate a broad range of MS lesions patterns in multimodal MRI imaging techniques (at moment, T1, T2, T2-FLAIR, PD, DTI-FA and DTI-ADC images are provided). For more details about this project, please see the original paper.


Modules

Use Cases

Most frequently used for these scenarios:

  • Use Case 1: Simulate different anatomical/clinical MS lesions patterns on healthy individuals MRI images
    • In the baseline scan approach, it is offered a simulation procedure where a determined lesion load is reconstructed using a subject specific anatomical features, resulting in a realistic MS lesion load simulation.
  • Use Case 2: Simulate longitudinal MS lesion progression on clinical healthy individuals MRI images

Similar Extensions

N/A

References

  • paper

Information for Developers


Repositories: