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Several algorithms for MRI to synthetic CT have been proposed. Each group quantifies conversion accuracy in different ways, making difficult to compare algorithms. We want to create a Slicer module for stardazied conversion accuracy assessment.
The extension “ImageCompare” was created. For the moment is contains just a module for synthetic CT evaluation. More modules could be add later.
The extension in already available in the nigthly build (thanks JC and Andras!)
Spadea, M.F., Pileggi, G., Zaffino, P., Salome, P., Catana, C., Izquierdo-Garcia, D., Amato, F. and Seco, J., 2019. 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, 105(3), pp.495-503.