Difference between revisions of "Documentation/Nightly/Extensions/ImageCompare"
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| − | |[[Image:SlicerSyntheticCTEvaluation_screenshot.png|thumb|340px| | + | |[[Image:SlicerSyntheticCTEvaluation_screenshot.png|thumb|340px|Synthetic CT Evaluation module]] |
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| + | * Synthetic CT Evaluation | ||
| − | 1. Load ground truth CT | + | 1. Load ground truth CT |
| − | 2. Load synthetic CT | + | 2. Load synthetic CT |
| − | 3. Load/generate a mask of patient's outilne | + | 3. Load/generate a mask of patient's outilne |
| − | 4. Click Apply button | + | 4. Click Apply button |
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Revision as of 10:50, 24 January 2020
Home < Documentation < Nightly < Extensions < ImageCompare
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For the latest Slicer documentation, visit the read-the-docs. |
Introduction and Acknowledgements
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Extension: SyntheticCTEvaluation |
Module Description
This extension is for comparing images. For the moment it contains just a single module for syntethic CT evaluation.
- SyntheticCTEvaluation: This module allows to quantify the similarity between a syntethic CT and a ground truth.
Use Cases
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
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
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Section under construction. |
