Oversampling errors in multimodal medical imaging are due to the Gibbs effect
University of Padova（帕多瓦大学）；Padua University Hospital（帕多瓦大学医院）；University of Genova（热那亚大学）
英文摘要：
To analyse multimodal 3-dimensional medical images, interpolation is required for resampling which - unavoidably - introduces an interpolation error. In this work we consider three segmented 3-dimensional images resampled with three different neuroimaging software tools for comparing undersampling and oversampling strategies and to identify where the oversampling error lies. The results indicate that undersampling to the lowest image size is advantageous in terms of mean value per segment errors and that the oversampling error is larger where the gradient is steeper, showing a Gibbs effect.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
