Titlebook: Computational Diffusion MRI; 14th International W Muge Karaman,Remika Mito,Stefan Winzeck Conference proceedings 2023 The Editor(s) (if app

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,Automated Mapping of?Residual Distortion Severity in?Diffusion MRI,nectivity analysis. While various methods were proposed to correct the distortion, residual distortions often persist at varying degrees across brain regions and subjects. Generating a voxel-level residual distortion severity map can thus be a valuable tool to better inform downstream connectivity a

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,Automatic Fast and?Reliable Recognition of?a?Small Brain White Matter Bundle,ly automatic algorithms for finding white matter bundles. One popular algorithm, Automated Fiber Quantification (AFQ), has been shown to be reliable for analyzing a suite of large bundles. Here, we demonstrate that this approach can be extended to a relatively small white matter bundle, the optic tr

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,FASSt: Filtering via?Symmetric Autoencoder for?Spherical Superficial White Matter Tractography,ns. However, the difficulties of generating complete and reliable U-fibers make SWM-related analysis lag behind relatively matured Deep white matter (DWM) analysis. With the aid of some newly proposed surface-based SWM tractography algorithms, we have developed a specialized SWM filtering method bas

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Anisotropic Fanning Aware Low-Rank Tensor Approximation Based Tractography,n density functions (fODFs). However, while it accounts for fiber crossings, it has so far ignored fanning, which has led to incomplete reconstructions. In this work, we integrate an anisotropic model of fanning based on the Bingham distribution into a recently proposed tractography method that perf

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,: Unsupervised Denoising and?Subsampling of?Diffusion MRI-Derived Tractography Data,raphy. Our approach considers both the global bundle structure and local streamline-wise features. We apply . to bundles generated from single-shell diffusion MRI data in an independent clinical sample of older adults from India using probabilistic tractography and the resulting ‘cleaned’ bundles ca

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,Advanced Diffusion MRI Modeling Sheds Light on?FLAIR White Matter Hyperintensities in?an?Aging Cohom multiple sclerosis to cerebrovascular disease. However, the biophysics underlying FLAIR WMH is only partially understood. In contrast, advanced diffusion MRI (dMRI) modeling, such as multi-shell and high angular resolution imaging, provide biophysically interpretable tissue properties but is more

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