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

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Tag: 2017 source edit
Tag: 2017 source edit
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1. Load ground truth CT
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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
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|[[Image:SlicerSyntheticCTEvaluation_screenshot.png|thumb|340px|Input T1 Image]]
 
|[[Image:SlicerSyntheticCTEvaluation_screenshot.png|thumb|340px|Input T1 Image]]

Revision as of 16:44, 23 January 2020

Home < Documentation < Nightly < Extensions < ImageCompare


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


Introduction and Acknowledgements

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

Module Description

This extension quantifies the similarity between a syntethic CT and a ground truth.


Use Cases

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

Input T1 Image

Tutorials

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