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Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution
April 9, 2024, 4:46 a.m. | Guangyuan Li, Chen Rao, Juncheng Mo, Zhanjie Zhang, Wei Xing, Lei Zhao
cs.CV updates on arXiv.org arxiv.org
Abstract: Recently, diffusion models (DM) have been applied in magnetic resonance imaging (MRI) super-resolution (SR) reconstruction, exhibiting impressive performance, especially with regard to detailed reconstruction. However, the current DM-based SR reconstruction methods still face the following issues: (1) They require a large number of iterations to reconstruct the final image, which is inefficient and consumes a significant amount of computational resources. (2) The results reconstructed by these methods are often misaligned with the real high-resolution images, …
abstract arxiv contrast cs.cv current diffusion diffusion model diffusion models face however imaging mri performance regard resolution type
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