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Precise Inference and Characterization of Structural Organization (PICASO) of tissue from molecular diffusion
Harvard Medical Sch, MA 02115 USA.
Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.
Harvard Medical Sch, MA 02115 USA.
Harvard Medical Sch, MA 02115 USA.
2017 (English)In: NeuroImage, ISSN 1053-8119, E-ISSN 1095-9572, Vol. 146, p. 452-473Article in journal (Refereed) Published
Abstract [en]

Inferring the microstructure of complex media from the diffusive motion of molecules is a challenging problem in diffusion physics. In this paper, we introduce a novel representation of diffusion MRI (dMRI) signal from tissue with spatially-varying diffusivity using a diffusion disturbance function. This disturbance function contains information about the (intra-voxel) spatial fluctuations in diffusivity due to restrictions, hindrances and tissue heterogeneity of the underlying tissue substrate. We derive the short- and long-range disturbance coefficients from this disturbance function to characterize the tissue structure and organization. Moreover, we provide an exact relation between the disturbance coefficients and the time-varying moments of the diffusion propagator, as well as their relation to specific tissue microstructural information such as the intra-axonal volume fraction and the apparent axon radius. The proposed approach is quite general and can model dMRI signal for any type of gradient sequence (rectangular, oscillating, etc.) without using the Gaussian phase approximation. The relevance of the proposed PICASO model is explored using Monte-Carlo simulations and in-vivo dMRI data. The results show that the estimated disturbance coefficients can distinguish different types of microstructural organization of axons.

Place, publisher, year, edition, pages
ACADEMIC PRESS INC ELSEVIER SCIENCE , 2017. Vol. 146, p. 452-473
Keywords [en]
Diffusion MRI; Tissue microstructure; Bloch-Torrey equation; Structural disorder; Diffusion equation; Time-dependent diffusion; Kurtosis
National Category
Radiology, Nuclear Medicine and Medical Imaging
Identifiers
URN: urn:nbn:se:liu:diva-136341DOI: 10.1016/j.neuroimage.2016.09.057ISI: 000394560700042PubMedID: 27751940OAI: oai:DiVA.org:liu-136341DiVA, id: diva2:1087901
Note

Funding Agencies|Swedish Research Council (VR) [2012-3682]; Swedish Foundation for Strategic Research (SSF) [AM13-0090]; T/"UB/.ITAK - EU COFUND [114C015]; [R01MH099797]; [R01MH074794]; [P41EB015902]

Available from: 2017-04-10 Created: 2017-04-10 Last updated: 2017-04-27

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