Documentation/Nightly/Extensions/ImageCompare

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Introduction and Acknowledgements

Extension: SyntheticCTEvaluation Author: Paolo Zaffino () Contributor1: Maria Francesca Spadea () 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

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