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Multifold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE)
Yoonmi Hong, Wei-Tang Chang, Geng Chen +4
Diffusion MRI (dMRI) is a unique imaging technique for in vivo characterization of tissue microstructure and white matter pathways. However, its relatively long acquisition time im…
DS-GCNs: Connectome Classification Using Dynamic Spectral Graph Convolution Networks with Assistant Task Training
Xiaodan Xing, Qingfeng Li, Hao Wei +5
Functional Connectivity (FC) matrices measure the regional interactions in the brain and have been widely used in neurological brain disease classification. However, a FC matrix is…
Probing Tissue Microarchitecture of the Baby Brain via Spherical Mean Spectrum Imaging
Khoi Minh Huynh, Tiantian Xu, Ye Wu +7
During the first years of life, the human brain undergoes dynamic spatially-heterogeneous changes, involving differentiation of neuronal types, dendritic arborization, axonal ingro…
Noise Reduction in Diffusion MRI Using Non-Local Self-Similar Information in Joint x-q Space
Geng Chen, Yafeng Wu, Dinggang Shen +1
Diffusion MRI affords valuable insights into white matter microstructures, but suffers from low signal-to-noise ratio (SNR), especially at high diffusion weighting (i.e., b-value).…
Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space
Geng Chen, Bin Dong, Yong Zhang +3
Diffusion MRI requires sufficient coverage of the diffusion wavevector space, also known as the q-space, to adequately capture the pattern of water diffusion in various directions…
Single- and Multiple-Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes
Jian Cheng, Dinggang Shen, Pew-Thian Yap +1
In diffusion MRI (dMRI), a good sampling scheme is important for efficient acquisition and robust reconstruction. Diffusion weighted signal is normally acquired on single or multip…