AI RESEARCH
Bridging MRI and PET physiology: Untangling complementarity through orthogonal representations
arXiv CS.CV
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ArXi:2604.07154v1 Announce Type: new Multimodal imaging analysis often relies on joint latent representations, yet these approaches rarely define what information is shared versus modality-specific. Clarifying this distinction is clinically relevant, as it delineates the irreducible contribution of each modality and informs rational acquisition strategies. We propose a subspace decomposition framework that reframes multimodal fusion as a problem of orthogonal subspace separation rather than translation.