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Synthesizing Realistic fMRI: A Physiological Dynamics-Driven Hierarchical Diffusion Model for Efficient fMRI Acquisition
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Proposes a physiological dynamics-driven hierarchical diffusion model that synthesizes realistic fMRI signals to enable efficient fMRI acquisition.
Problem
fMRI acquisition is slow and sensitive to patient movement, and existing generative (diffusion) models for synthesizing fMRI underperform because they neglect the brain's structural and dynamic properties.
Approach
A hierarchical diffusion model whose generation is guided by physiological dynamics of the brain, so that synthesized fMRI better reflects the brain's structural and dynamic patterns.
Experimental setup
Builds on: diffusion models
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