Abstract #0081

Deep learning-based sCTs with uncertainty estimation from heterogeneous paediatric brain MRI

Matteo Maspero^1,2, Laura G Bentvelzen^1,2, Mark H F Savenije^1,2, Enrica Seravalli¹, Geert O R Janssens^1,3, Cornelis A T van den Berg^1,2, and Marielle E P Philippens¹

¹Radiotherapy, UMC Utrecht, Utrecht, Netherlands, ²Computational imaging group for MR diagnostic & therapy, UMC Utrecht, Utrecht, Netherlands, ³Paediatric Oncology, Princess Maxima Center, Utrecht, Netherlands

The feasibility of radiotherapy dose calculations for brain tumours from MRI acquired with a heterogeneous set of acquisition protocols on paediatric patients was investigated using a combination of networks trained on orthogonal planes to estimate the uncertainty of the generated sCT.

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