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Improve Cross-Modality Segmentation by Treating MRI Images as Inverted CT Scans
May 8, 2024, 4:42 a.m. | Hartmut H\"antze, Lina Xu, Leonhard Donle, Felix J. Dorfner, Alessa Hering, Lisa C. Adams, Keno K. Bressem
cs.LG updates on arXiv.org arxiv.org
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
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