SPIRiT-Diffusion: SPIRiT-driven Score-Based Generative Modeling for
Vessel Wall imaging
- URL: http://arxiv.org/abs/2212.11274v1
- Date: Wed, 14 Dec 2022 02:08:02 GMT
- Title: SPIRiT-Diffusion: SPIRiT-driven Score-Based Generative Modeling for
Vessel Wall imaging
- Authors: Chentao Cao, Zhuo-Xu Cui, Jing Cheng, Sen Jia, Hairong Zheng, Dong
Liang, Yanjie Zhu
- Abstract summary: We give a new diffusion model, called SPIRiT-Diffusion, based on the SPIRiT iterative reconstruction algorithm.
Specifically, SPIRiT-Diffusion characterizes the prior distribution of coil-by-coil images by score matching.
We achieve superior reconstruction results on the joint Intracranial and Carotid Vessel Wall imaging dataset.
- Score: 17.56962674277573
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Diffusion model is the most advanced method in image generation and has been
successfully applied to MRI reconstruction. However, the existing methods do
not consider the characteristics of multi-coil acquisition of MRI data.
Therefore, we give a new diffusion model, called SPIRiT-Diffusion, based on the
SPIRiT iterative reconstruction algorithm. Specifically, SPIRiT-Diffusion
characterizes the prior distribution of coil-by-coil images by score matching
and characterizes the k-space redundant prior between coils based on
self-consistency. With sufficient prior constraint utilized, we achieve
superior reconstruction results on the joint Intracranial and Carotid Vessel
Wall imaging dataset.
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