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

From Slicer Wiki
Jump to: navigation, search
Tag: 2017 source edit
Tag: 2017 source edit
Line 19: Line 19:
 
{{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.
+
* SyntheticCTEvaluation: This module allows to quantify the similarity between a syntethic CT and a ground truth.
  
  

Revision as of 18:42, 23 January 2020

Home < Documentation < Nightly < Extensions < ImageCompare

For the stable Slicer documentation, visit the 4.10 page.

Introduction and Acknowledgements

Extension: SyntheticCTEvaluation
Author: Paolo Zaffino ()
Contributor1: Maria Francesca Spadea ()
Contact: Paolo Zaffino, <email>p.zaffino@unicz.it</email>

Module Description

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


Use Cases

Input T1 Image

Tutorials

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

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