SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI

arXiv:2304.05060v2 Announce Type: replace
Abstract: Diffusion models have emerged as a leading methodology for image generation and have proven successful in the realm of magnetic resonance imaging (MRI) reconstruction. However, existing reconstruction methods based on diffusion models are primarily formulated in the image domain, making the reconstruction quality susceptible to inaccuracies in coil sensitivity maps (CSMs). k-space interpolation methods can effectively address this issue but conventional diffusion models are not readily applicable in k-space interpolation. To overcome this challenge, we …

abstract arxiv cs.cv diffusion diffusion model diffusion models domain however image image generation imaging making methodology mri quality realm type