Difference between revisions of "Documentation/Nightly/Extensions/ImageCompare"
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<!-- ---------------------------- -->{{documentation/{{documentation/version}}/module-section|Use Cases}} | <!-- ---------------------------- -->{{documentation/{{documentation/version}}/module-section|Use Cases}} | ||
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+ | 1. Load ground truth CT | ||
+ | 2. Load synthetic CT | ||
+ | 3. Load/generate a mask of patient's outilne | ||
+ | 4. Click Apply button | ||
+ | |||
{| | {| | ||
|[[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 |
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
Tutorials
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
Section under construction. |