Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Du, Chenhe"'
Motion correction (MoCo) in radial MRI is a challenging problem due to the unpredictability of subject's motion. Current state-of-the-art (SOTA) MoCo algorithms often use extensive high-quality MR images to pre-train neural networks, obtaining excell
Externí odkaz:
http://arxiv.org/abs/2409.16921
Reconstructing high-fidelity magnetic resonance (MR) images from under-sampled k-space is a commonly used strategy to reduce scan time. The posterior sampling of diffusion models based on the real measurement data holds significant promise of improve
Externí odkaz:
http://arxiv.org/abs/2407.02744
Autor:
Du, Chenhe, Lin, Xiyue, Wu, Qing, Tian, Xuanyu, Su, Ying, Luo, Zhe, Zheng, Rui, Chen, Yang, Wei, Hongjiang, Zhou, S. Kevin, Yu, Jingyi, Zhang, Yuyao
Limited-angle and sparse-view computed tomography (LACT and SVCT) are crucial for expanding the scope of X-ray CT applications. However, they face challenges due to incomplete data acquisition, resulting in diverse artifacts in the reconstructed CT i
Externí odkaz:
http://arxiv.org/abs/2404.17890