Publications by Alessandro Daducci

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Microstructure imaging with diffusion MRI (dMRI) is usually based on fitting models to the data using voxelwise nonlinear procedures that (i) are time consuming and (ii) need long acquisitions. Recently, we introduced the AMICO framework to accelerate the ...

Validation is the main bottleneck preventing the adoption of many medical image processing algorithms in the clinical practice. In the classical approach, a-posteriori analysis is performed based on some objective metrics. In this work, a different approac ...

State-of-the-art microstructure imaging methods usually fit biophysical models to the diffusion MRI data on a voxel-by-voxel basis using non-linear procedures that require both long acquisitions and processing time. We recently introduced AMICO, a framewor ...

Volumetric analysis of bundles derived from tractography is a popular statistical measure used in neurological disorder studies. Recent research performed by Gauvin shows that different bundles saturate with different tractography parameters, however, to a ...

Tractography has proven particularly effective for studying noninvasively the neuronal architecture of the brain but recent studies have showed that the high incidence of false positives can significantly bias any connectivity analysis. We present a novel ...

Diffusion MRI is a well established imaging modality providing a powerful way to non-invasively probe the structure of the white matter. Despite the potential of the technique, the intrinsic long scan times of these sequences have hampered their use in cli ...

Diffusion spectrum imaging (DSI) is increasingly explored in clinical research. The quantitative value of the DSI technique, however, has still to be established. In this context, a better understanding of the reproducibility and the anatomical corresponde ...

The main assumption of fiber-tracking algorithms is that fiber trajectories are represented by paths of highest diffusion, which is usually accomplished by following the principal diffusion directions in every voxel. The state-of-the-art approaches known a ...

Connectivity analysis on diffusion MRI data of the whole- brain suffers from distortions caused by the standard echo- planar imaging acquisition strategies. These images show characteristic geometrical deformations and signal destruction that are an import ...

Multi-center neuroimaging studies have more power than smaller ones to conduct sophisticated studies of basic neuroanatomy and clinical disorders. One important confound of combining images obtained from different scanners is the potential for scanner effe ...

In the central nervous system of primates, several pathways are characterized by different spectra of axon diameters. In vivo methods, based on diffusion-weighted magnetic resonance imaging, can provide axon diameter index estimates non-invasively. However ...

Introduction: Several imaging modalities are under investigation to unravel the pathophysiological mystery of delayed performance deficits in patients after mild traumatic brain injury (mTBI). Although both imaging and neuropsychological studies have been ...

Advanced neuroinformatics tools are required for methods of connectome mapping, analysis, and visualization. The inherent multi-modality of connectome datasets poses new challenges for data organization, integration, and sharing. We have designed and imple ...

We consider the problem of multiple correlated sparse signals reconstruction and propose a new implementation of structured sparsity through a reweighting scheme. We present a particular application for diffusion Magnetic Resonance Imaging data and show ho ...

Alessandro Daducci

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Reducing acquisition time for microstructure imaging with spatially-regularized global optimization

Towards a diffusion image processing validation and accuracy prediction framework

Reducing acquisition time for axon diameter mapping using global optimization in the spatial-angular-microstructure space

Microstructural alterations in the brain of well treated HIV+ patients with minor neurocognitive disorders: a multi-contrast MRI study at 3T

When does a volume of a bundle achieve saturation? A microstructure informed tractography study

Reducing false positives in tractography with microstructural and anatomical priors

l0-deconvolution for compressive diffusion MRI

On the reproducibility and anatomical correspondence of DSI tractography

Anatomical Priors to improve Global Tractography

Simulation-based evaluation of susceptibility distortion correction methods in diffusion MRI for connectivity analysis

Testing the variability of Diffusion Spectrum Imaging (DSI): Inter- and intra-site comparison on "identical" 3T scanners

Structural abnormalities in the thalamus of migraine patients: a multi-parametric study at high field

Deep learning analysis applied to multi-parametric advanced MRI shows higher myelin content and neurite density in juxtacortical lesions compared to periventricular lesions

Bundle-Specific Axon Diameter Index as a New Contrast to Differentiate White Matter Tracts

Central nervous system microbleeds in the acute phase are associated with structural integrity by DTI one year after mild traumatic brain injury: A longitudinal study

The Connectome Viewer Toolkit: an open source framework to manage, analyze, and visualize connectomes

Graph theory to analyse developmental plasticity in connectivity of preterm children

Structured sparsity through reweighting and application to diffusion MRI

A manganese-enhanced (MEMRI) study of sleep and wake. Sleep deprivation points to a role of glial cells in sleep homeostasis

Brain tissue segmentation on diffusion weighted magnetic resonance data