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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></email>

Module Description

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

Use Cases

Input T1 Image


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


  • 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