From Diffusion MRI to Brain Connectomics

Aurobrata Ghosh () and Rachid Deriche ()
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Aurobrata Ghosh: Athena project-team, Inria Sophia Antipolis Méditerranée
Rachid Deriche: Athena project-team, Inria Sophia Antipolis Méditerranée

Chapter Chapter 6 in Modeling in Computational Biology and Biomedicine, 2013, pp 193-234 from Springer

Abstract: Abstract Diffusion MRI (dMRI) is a unique modality of MRI which allows one to indirectly examine the microstructure and integrity of the cerebral white matter in vivo and non-invasively. Its success lies in its capacity to reconstruct the axonal connectivity of the neurons, albeit at a coarser resolution, without having to operate on the patient, which can cause radical alterations to the patient’s cognition. Thus dMRI is beginning to assume a central role in studying and diagnosing important pathologies of the cerebral white matter, such as Alzheimer’s and Parkinson’s diseases, as well as in studying its physical structure in vivo. In this chapter we present an overview of the mathematical tools that form the framework of dMRI—from modelling the MRI signal and measuring diffusion properties, to reconstructing the axonal connectivity of the cerebral white matter, i.e., from Diffusion Weighted Images (DWIs) to the human connectome.

Keywords: Nuclear Magnetic Resonance; Diffusion Tensor Imaging; Orientation Distribution Function; Cerebral White Matter; Probability Density Function (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-31208-3_6

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DOI: 10.1007/978-3-642-31208-3_6

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