Documentation/Nightly/Extensions/LesionSimulator - Revision history

Acsenrafilho at 15:44, 9 November 2024

2024-11-09T15:44:50Z

Acsenrafilho at 13:37, 1 May 2019

2019-05-01T13:37:12Z

Acsenrafilho at 13:20, 1 May 2019

2019-05-01T13:20:09Z

Acsenrafilho at 13:10, 1 May 2019

2019-05-01T13:10:53Z

Acsenrafilho at 21:53, 17 April 2019

2019-04-17T21:53:25Z

Acsenrafilho at 22:33, 14 December 2016

2016-12-14T22:33:13Z

Acsenrafilho at 16:03, 14 December 2016

2016-12-14T16:03:21Z

Acsenrafilho at 19:51, 12 December 2016

2016-12-12T19:51:57Z

Acsenrafilho at 19:51, 12 December 2016

2016-12-12T19:51:33Z

Acsenrafilho at 19:49, 12 December 2016

2016-12-12T19:49:44Z

@@ Line 74: / Line 74: @@
 Repositories:
-* Source code: [https://github.com/CSIM-Toolkits/Slicer GitHub repository]
+* Source code: [https://github.com/CSIM-Toolkits/Slicer-LesionSimulatorExtension GitHub repository]
-* Issue tracker:  [https://github.com/CSIM-Toolkits/Slicer/issues open issues and enhancement requests]
+* Issue tracker:  [https://github.com/CSIM-Toolkits/Slicer-LesionSimulatorExtension/issues open issues and enhancement requests]
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 [[Image:LesionSimulator-logo.png|left]]
-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), and a local contrast ratio is applied on each image modality provided by the user. 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 [http://dx.doi.org/ original paper].
+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), and a local contrast ratio is applied on each image modality provided by the user. 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 [http://dx.doi.org/10.1088/2057-1976/ab08fc original paper].
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-* https://doi.org/10.1088/2057-1976/ab08fc
+* Senra Filho, A. C. da S., Simozo, F. H., dos Santos, A. C., & Junior, L. O. M. (2019). Multiple Sclerosis multimodal lesion simulation tool (MS-MIST). Biomedical Physics & Engineering Express, 5(3), 035003. https://doi.org/10.1088/2057-1976/ab08fc
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 Repositories:
-* Source code: [https://github.com/CSIM-Toolkits/Slicer-LesionSimulatorExtension GitHub repository]
+* Source code: [https://github.com/CSIM-Toolkits/Slicer GitHub repository]
-* Issue tracker:  [https://github.com/CSIM-Toolkits/Slicer-LesionSimulatorExtension/issues open issues and enhancement requests]
+* Issue tracker:  [https://github.com/CSIM-Toolkits/Slicer/issues open issues and enhancement requests]
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@@ Line 69: / Line 69: @@
 Repositories:
-* Source code: [https://github.com/CSIM-Toolkits/Slicer GitHub repository]
+* Source code: [https://github.com/CSIM-Toolkits/Slicer-LesionSimulatorExtension GitHub repository]
-* Issue tracker:  [https://github.com/CSIM-Toolkits/Slicer/issues open issues and enhancement requests]
+* Issue tracker:  [https://github.com/CSIM-Toolkits/Slicer-LesionSimulatorExtension/issues open issues and enhancement requests]
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-* paper
+* https://doi.org/10.1088/2057-1976/ab08fc
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 Image:MNI152_lesionload40mL_sag.png|The same MNI152 template with 40mL lesion load simulated lesions (sagittal orientation)
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 [[Image:LesionSimulator-logo.png|left]]
-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 [http://dx.doi.org/ original paper].
+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), and a local contrast ratio is applied on each image modality provided by the user. 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 [http://dx.doi.org/ original paper].
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 {{documentation/{{documentation/version}}/extension-section|Modules}}
-*[[Documentation/{{documentation/version}}/Modules/|MS Lesion Simulator]]
+*[[Documentation/{{documentation/version}}/Modules/MSLesionSimulator|MS Lesion Simulator]]
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 **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
-**
+**Another important issue in Multiple Sclerosis diagnosis is the lesion progression, where drive the therapeutic strategy by the health professionals. In this case, an automatic segmentation approach could be optimally adjusted for the time progression presented in a exam series.
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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>
 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>
+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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