Structural MRI Harmonization via Disentangled Latent Energy-Based Style Translation.

ABSTRACT: Multi-site brain magnetic resonance imaging (MRI) has been widely used in clinical and research domains, but usually is sensitive to non-biological variations caused by site effects (e.g., field strengths and scanning protocols). Several retrospective data harmonization methods have shown promising results in removing these non-biological variations at feature or whole-image level. Most existing image-level harmonization methods are implemented through generative adversarial networks, which are generally computationally expensive and generalize poorly on independent data. To this end, this paper proposes a disentangled latent energy-based style translation (DLEST) framework for image-level structural MRI harmonization. Specifically, DLEST disentangles site-invariant image generat

SUBMITTER: Wu M 

PROVIDER: S-EPMC10883146 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature