Regularized, fast, and robust analytical Q‐ball imaging

M Descoteaux, E Angelino… - … in Medicine: An …, 2007 - Wiley Online Library
We propose a regularized, fast, and robust analytical solution for the Q‐ball imaging (QBI)
reconstruction of the orientation distribution function (ODF) together with its detailed …

A novel tensor distribution model for the diffusion-weighted MR signal

B Jian, BC Vemuri, E Özarslan, PR Carney, TH Mareci - NeuroImage, 2007 - Elsevier
Diffusion MRI is a non-invasive imaging technique that allows the measurement of water
molecule diffusion through tissue in vivo. The directional features of water diffusion allow …

A unified computational framework for deconvolution to reconstruct multiple fibers from diffusion weighted MRI

B Jian, BC Vemuri - IEEE transactions on medical imaging, 2007 - ieeexplore.ieee.org
Diffusion magnetic resonance imaging (MRI) is a relatively new imaging modality which is
capable of measuring the diffusion of water molecules in biological systems noninvasively …

Fluid registration of diffusion tensor images using information theory

MC Chiang, AD Leow, AD Klunder… - IEEE transactions on …, 2008 - ieeexplore.ieee.org
We apply an information-theoretic cost metric, the symmetrized Kullback-Leibler (sKL)
divergence, or J-divergence, to fluid registration of diffusion tensor images. The difference …

Mathematical description of q‐space in spherical coordinates: exact q‐ball imaging

EJ Canales‐Rodríguez, L Melie‐García… - … in Medicine: An …, 2009 - Wiley Online Library
Novel methodologies have been recently developed to characterize the microgeometry of
neural tissues and porous structures via diffusion MRI data. In line with these previous …

Symmetric Positive 4 th Order Tensors & Their Estimation from Diffusion Weighted MRI

A Barmpoutis, B Jian, BC Vemuri… - Information Processing in …, 2007 - Springer
Abstract In Diffusion Weighted Magnetic Resonance Image (DW-MRI) processing a 2 nd
order tensor has been commonly used to approximate the diffusivity function at each lattice …

Multi-fiber reconstruction from diffusion MRI using mixture of Wisharts and sparse deconvolution

B Jian, BC Vemuri - … international conference on information processing in …, 2007 - Springer
In this paper, we present a novel continuous mixture of diffusion tensors model for the
diffusion-weighted MR signal attenuation. The relationship between the mixing distribution …

Reproducibility of the structural connectome reconstruction across diffusion methods

V Prčkovska, P Rodrigues… - Journal of …, 2016 - Wiley Online Library
Analysis of the structural connectomes can lead to powerful insights about the brain's
organization and damage. However, the accuracy and reproducibility of constructing the …

Diffusion orientation transform revisited

EJ Canales-Rodríguez, CP Lin, Y Iturria-Medina… - NeuroImage, 2010 - Elsevier
Diffusion orientation transform (DOT) is a powerful imaging technique that allows the
reconstruction of the microgeometry of fibrous tissues based on diffusion MRI data. The …

Symmetric positive semi-definite cartesian tensor fiber orientation distributions (CT-FOD)

YT Weldeselassie, A Barmpoutis, MS Atkins - Medical Image Analysis, 2012 - Elsevier
A novel method for estimating a field of fiber orientation distribution (FOD) based on signal
de-convolution from a given set of diffusion weighted magnetic resonance (DW-MR) images …