Feb. 13, 2024, 5:48 a.m. | Mengqi Wu Lintao Zhang Pew-Thian Yap Hongtu Zhu Mingxia Liu

cs.CV updates on arXiv.org arxiv.org

Brain magnetic resonance imaging (MRI) has been extensively employed across clinical and research fields, but often exhibits sensitivity to site effects arising from nonbiological variations such as differences in field strength and scanner vendors. Numerous retrospective MRI harmonization techniques have demonstrated encouraging outcomes in reducing the site effects at image level. However, existing methods generally suffer from high computational requirements and limited generalizability, restricting their applicability to unseen MRIs. In this paper, we design a novel disentangled latent energy-based style …

brain clinical cs.cv differences eess.iv effects energy fields framework image imaging mri research retrospective sensitivity style translation vendors

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