Contextual fibre growth to generate realistic axonal packing for diffusion MRI simulation

Callaghan, Ross, Alexander, Daniel C., Zhang, Hui and Palombo, Marco ORCID: https://orcid.org/0000-0003-4892-7967 2019. Contextual fibre growth to generate realistic axonal packing for diffusion MRI simulation. Presented at: IPMI: 26th International Conference on Information Processing in Medical Imaging, Hong Kong, China, 2-7-June 2019. Published in: Chung, A., Gee, J., Yushkevich, P. and Bao, S. eds. Information Processing in Medical Imaging Proceedings. Lecture Notes in Computer Science. Lecture Notes in Computer Science , vol.11492 Springer, pp. 429-440. 10.1007/978-3-030-20351-1_33

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Abstract

This paper presents ConFiG, a method for generating white matter (WM) numerical phantoms with more realistic orientation dispersion and packing density. Numerical phantoms are commonly used in the validation of diffusion MRI (dMRI) techniques so it is important that they are as realistic as possible. Current numerical phantoms either oversimplify the complex morphology of WM or are unable to produce realistic orientation dispersion at high packing density. The highest packing density and orientation dispersion achieved so far is only 20% at 10∘. ConFiG takes advantage of a shift of paradigm: rather than ‘packing fibres’, our algorithm ‘grows fibres’ contextually and efficiently, attempting to produce a substrate with desired morphological priors (orientation dispersion, packing density and diameter distribution), whilst avoiding intersection between fibres. The potential of ConFiG is demonstrated by reaching the highest packing density and orientation dispersion ever, to our knowledge (25% at 35∘). The algorithm is compared with a ‘brute force’ growth approach showing that it is much more efficient, being O(n) compared to the O(n2) brute-force method. The application of the method to dMRI is demonstrated with simulations of diffusion-weighted MR signal in three example substrates with differing orientation-dispersions, packing-densities and permeabilities.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Published Online
Status:	Published
Schools:	Psychology Cardiff University Brain Research Imaging Centre (CUBRIC)
Publisher:	Springer
ISBN:	9783030203504
ISSN:	0302-9743
Last Modified:	10 Nov 2022 10:42
URI:	https://orca.cardiff.ac.uk/id/eprint/147867

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