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

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Tag: 2017 source edit
 
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{{documentation/{{documentation/version}}/module-introduction-start|{{documentation/modulename}}}}
 
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{{documentation/{{documentation/version}}/module-introduction-row}}
Extension: [[Documentation/{{documentation/version}}/Extensions/SyntheticCTEvaluation|SyntheticCTEvaluation]]<br>
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Extension: [[Documentation/{{documentation/version}}/Extensions/ImageCompare|ImageCompare]]<br>
Author: Paolo Zaffino ({{collaborator|name|Magna Graecia Univeristy of Catanzaro - Italy}})<br>
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Author: Paolo Zaffino, Magna Graecia Univeristy of Catanzaro - Italy<br>
Contributor1: Maria Francesca Spadea ({{collaborator|name|Magna Graecia Univeristy of Catanzaro - Italy}})<br>
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Contributor1: Maria Francesca Spadea, Magna Graecia Univeristy of Catanzaro - Italy<br>
 
Contact: Paolo Zaffino, <email>p.zaffino@unicz.it</email><br>
 
Contact: Paolo Zaffino, <email>p.zaffino@unicz.it</email><br>
  
 
{{documentation/{{documentation/version}}/module-introduction-end}}
 
{{documentation/{{documentation/version}}/module-introduction-end}}
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This extension is for comparing images.
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For the moment it contains just a single module for syntethic CT evaluation.
  
 
<!-- ---------------------------- -->
 
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{{documentation/{{documentation/version}}/module-section|Module Description}}
 
{{documentation/{{documentation/version}}/module-section|Module Description}}
  
This extension quantifies the similarity between a syntethic CT and a ground truth.
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* SyntheticCTEvaluation: This module allows to quantify the similarity between a syntethic CT and a ground truth.
  
  
 
<!-- ---------------------------- -->{{documentation/{{documentation/version}}/module-section|Use Cases}}
 
<!-- ---------------------------- -->{{documentation/{{documentation/version}}/module-section|Use Cases}}
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* Synthetic CT Evaluation
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User wants to quantify conversion accuracy of his algorithm for synthetic CT generation
  
 
{|
 
{|
|[[Image:SlicerSyntheticCTEvaluation_screenshot.png|thumb|340px|Input T1 Image]]
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|[[Image:SlicerSyntheticCTEvaluation_screenshot.png|thumb|340px|Synthetic CT Evaluation module]]
 
|}
 
|}
  
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{{documentation/{{documentation/version}}/module-section|Tutorials}}
 
{{documentation/{{documentation/version}}/module-section|Tutorials}}
  
 
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* Synthetic CT Evaluation
1. Load ground truth CT
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1. Load ground truth CT
 
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2. Load synthetic CT
2. Load synthetic CT
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3. Load/generate a mask of patient's outilne
 
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4. Click Apply button
3. Load/generate a mask of patient's outilne
 
 
 
4. Click Apply button
 
  
 
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{|
 
{|
 
|
 
|
|[[Image:SlicerSyntheticCTEvaluation_panel.png|thumb|280px|Module UI]]
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|[[Image:SlicerSyntheticCTEvaluation_panel.png|thumb|280px|Synthetic CT Evaluation module UI]]
 
|}
 
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Latest revision as of 10:59, 24 January 2020

Home < Documentation < Nightly < Extensions < ImageCompare


For the latest Slicer documentation, visit the read-the-docs.


Introduction and Acknowledgements

Extension: ImageCompare
Author: Paolo Zaffino, Magna Graecia Univeristy of Catanzaro - Italy
Contributor1: Maria Francesca Spadea, Magna Graecia Univeristy of Catanzaro - Italy
Contact: Paolo Zaffino, <email>p.zaffino@unicz.it</email>

This extension is for comparing images. For the moment it contains just a single module for syntethic CT evaluation.

Module Description

  • SyntheticCTEvaluation: This module allows to quantify the similarity between a syntethic CT and a ground truth.


Use Cases

  • Synthetic CT Evaluation

User wants to quantify conversion accuracy of his algorithm for synthetic CT generation

Synthetic CT Evaluation module

Tutorials

  • Synthetic CT Evaluation
1. Load ground truth CT
2. Load synthetic CT
3. Load/generate a mask of patient's outilne
4. Click Apply button

Panels and their use

Synthetic CT Evaluation module UI

Similar Modules

References

  • Spadea MF, Pileggi G, Zaffino P, Salome P, Catana C, Izquierdo-Garcia D, Amato F, Seco J. Deep Convolution Neural Network (DCNN) Multiplane Approach to Synthetic CT Generation From MR images—Application in Brain Proton Therapy. International Journal of Radiation Oncology* Biology* Physics. 2019 Nov 1;105(3):495-503.


Information for Developers

https://github.com/pzaffino/SlicerImageCompare