SRDTI: Deep learning-based super-resolution for diffusion tensor MRI

doi:doi:10.57702/kurl710i

SRDTI: Deep learning-based super-resolution for diffusion tensor MRI

High-resolution diffusion-weighted images (DWIs) from low-resolution DWIs using a deep learning-based super-resolution method entitled “SRDTI” to synthesize high-resolution diffusion-weighted images (DWIs) from low-resolution DWIs.

BibTex:

@dataset{Qiyuan_Tian_and_Ziyu_Li_and_Qiuyun_Fan_and_Chanon_Ngamsombat_and_Yuxin_Hu_and_Congyu_Liao_and_Fuyixue_Wang_and_Kawin_Setsompop_and_Jonathan_R_Polimeni_and_Berkin_Bilgic_and_Susie_Y_Huang_2024,
    abstract = {High-resolution diffusion-weighted images (DWIs) from low-resolution DWIs using a deep learning-based super-resolution method entitled “SRDTI” to synthesize high-resolution diffusion-weighted images (DWIs) from low-resolution DWIs.},
    author = {Qiyuan Tian and Ziyu Li and Qiuyun Fan and Chanon Ngamsombat and Yuxin Hu and Congyu Liao and Fuyixue Wang and Kawin Setsompop and Jonathan R. Polimeni and Berkin Bilgic and Susie Y. Huang},
    doi = {10.57702/kurl710i},
    institution = {No Organization},
    keyword = {'Deep Learning', 'Diffusion Tensor MRI', 'Super-Resolution'},
    month = {dec},
    publisher = {TIB},
    title = {SRDTI: Deep learning-based super-resolution for diffusion tensor MRI},
    url = {https://service.tib.eu/ldmservice/dataset/srdti--deep-learning-based-super-resolution-for-diffusion-tensor-mri},
    year = {2024}
}