Improve Cross-Modality Segmentation by Treating MRI Images as Inverted CT Scans

arXiv:2405.03713v1 Announce Type: cross
Abstract: Computed tomography (CT) segmentation models frequently include classes that are not currently supported by magnetic resonance imaging (MRI) segmentation models. In this study, we show that a simple image inversion technique can significantly improve the segmentation quality of CT segmentation models on MRI data, by using the TotalSegmentator model, applied to T1-weighted MRI images, as example. Image inversion is straightforward to implement and does not require dedicated graphics processing units (GPUs), thus providing a quick …

abstract arxiv cs.cv cs.lg data eess.iv image images imaging mri quality scans segmentation show simple study type