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Yaniv Assaf

Researcher at Tel Aviv University

Publications -  174
Citations -  12657

Yaniv Assaf is an academic researcher from Tel Aviv University. The author has contributed to research in topics: Diffusion MRI & White matter. The author has an hindex of 50, co-authored 156 publications receiving 11168 citations. Previous affiliations of Yaniv Assaf include Tel Aviv Sourasky Medical Center & Sheba Medical Center.

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Diffusion Tensor Imaging (DTI)-based White Matter Mapping in Brain Research: A Review

TL;DR: While DTI offers a powerful tool to study and visualize white matter, it suffers from inherent artifacts and limitations and provides an efficient tool for comprehensive, noninvasive, functional anatomy mapping of the human brain.
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Composite hindered and restricted model of diffusion (CHARMED) MR imaging of the human brain.

TL;DR: An experimental design and analysis framework to implement CHARMED MRI that is feasible on human clinical scanners is provided and it is assumed that these images might be more sensitive than DTI to white matter disorders.
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Axcaliber: A method for measuring axon diameter distribution from diffusion MRI

TL;DR: A new NMR‐based approach that employs a model of water diffusion within “restricted” cylindrical axons to estimate their diameter distribution within a nerve bundle is proposed and validated by comparing the diameter distributions measured using the NMR and histological techniques on sciatic and optic nerve tissue specimens.
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Free water elimination and mapping from diffusion MRI.

TL;DR: It is suggested that free water is not limited to the borders of the brain parenchyma; it therefore contributes to the architecture surrounding neuronal bundles and may indicate specific anatomical processes.
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New modeling and experimental framework to characterize hindered and restricted water diffusion in brain white matter

TL;DR: A theoretical framework is proposed that combines hindered and restricted models of water diffusion (CHARMED) and an experimental methodology that embodies features of diffusion tensor and q‐space MRI that shows promise in determining the orientations of two or more fiber compartments more precisely and accurately than with diffusion Tensor imaging.