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Titlebook: Computational Diffusion MRI; International MICCAI Noemi Gyori,Jana Hutter,Fan Zhang Conference proceedings 2021 The Editor(s) (if applicabl

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31#
發(fā)表于 2025-3-26 21:58:32 | 只看該作者
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發(fā)表于 2025-3-27 01:25:59 | 只看該作者
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發(fā)表于 2025-3-27 07:21:40 | 只看該作者
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發(fā)表于 2025-3-27 11:09:28 | 只看該作者
1612-3786 road range of topics, from the mathematical foundations of the diffusion process and signal generation to new computational methods and estimation techniques for the in-vivo recovery of microstructural and conn978-3-030-73020-8978-3-030-73018-5Series ISSN 1612-3786 Series E-ISSN 2197-666X
35#
發(fā)表于 2025-3-27 13:41:29 | 只看該作者
Image Reconstruction from Accelerated Slice-Interleaved Diffusion Encoding Data multi-band imaging, the method is capable of reducing the amount of data that needs to be acquired by as much as 25 times, therefore remarkably speeding up acquisition and making high angular resolution diffusion imaging much more feasible, particularly for pediatric, elderly, and claustrophobic pa
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發(fā)表于 2025-3-27 19:39:15 | 只看該作者
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發(fā)表于 2025-3-27 23:12:35 | 只看該作者
A Signal Peak Separation Index for Axisymmetric B-Tensor Encodingaided traditional linear encoding in the estimation of white matter microstructural features, generally by making DW-MRI . sensitive to the orientation of axon fascicles in a voxel. However, less is known about their potential to make the signal . sensitive to fascicle orientation, especially in cro
38#
發(fā)表于 2025-3-28 06:02:27 | 只看該作者
Improving Tractography Accuracy Using Dynamic Filteringlast decade, different approaches showed the benefits of using microstructural information to help tractography?reconstruction. Filtering?methods, in particular, exploit this information to find the contribution of an input set of streamlines and keep only the tracts needed to explain the diffusion
39#
發(fā)表于 2025-3-28 08:27:21 | 只看該作者
Diffeomorphic Alignment of Along-Tract Diffusion Profiles from Tractography An implicit assumption in performing inter-subject comparisons is a one-to-one correspondence of the profiles across subjects. Further, the profiles may also exhibit noise and spatial variability due to misregistration, tractography algorithms, interpolation methods, or inter-subject differences in
40#
發(fā)表于 2025-3-28 12:37:19 | 只看該作者
Direct Reconstruction of Crossing Muscle Fibers in the Human Tongue Using a Deep Neural Networkiber orientations throughout the tongue can be beneficial for better understanding the tongue’s function in speaking, swallowing, and breathing. Diffusion weighted imaging?(DWI) can quantify the anisotropic diffusion of water in muscle and has been used to image tongue muscles. To resolve crossing m
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