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math.NA2022
Reducing the Gibbs effect in multimodal medical imaging by the Fake Nodes Approach
Davide Poggiali, Diego Cecchin, Stefano De Marchi
It is a common practice in multimodal medical imaging to undersample the anatomically-derived segmentation images to measure the mean activity of a co-acquired functional image. Th…
math.NA2021
Oversampling errors in multimodal medical imaging are due to the Gibbs effect
Davide Poggiali, Diego Cecchin, Cristina Campi +1
To analyse multimodal 3-dimensional medical images, interpolation is required for resampling which - unavoidably - introduces an interpolation error. In this work we consider three…