A Flow-based Truncated Denoising Diffusion Model for super-resolution Magnetic Resonance Spectroscopic Imaging
Abstract: Highlights•Designed a novel diffusion model for performant and efficient super-resolution MRSI.•Facilitated multi-scale super-resolution with network conditioning.•Introduced a temperature parameter for diffusion models to adjust image sharpness.•Developed the first in vivo MRSI dataset for training deep learning networks.•Neuroradiologists assessed super-resolved metabolic maps from clinical perspectives.
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