A5069089076- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Functional Brain Connectivity Studies
- MRI in cancer diagnosis
- Genetic Neurodegenerative Diseases
- Mitochondrial Function and Pathology
- Medical Image Segmentation Techniques
- Bone and Joint Diseases
- Fetal and Pediatric Neurological Disorders
- Parkinson's Disease Mechanisms and Treatments
- Morphological variations and asymmetry
- Neurological disorders and treatments
- Medical Imaging and Analysis
- Medical Imaging Techniques and Applications
- Cervical and Thoracic Myelopathy
- Image and Signal Denoising Methods
- Spinal Dysraphism and Malformations
- NMR spectroscopy and applications
- Neurological and metabolic disorders
- Multiple Sclerosis Research Studies
- Long-Term Effects of COVID-19
- Amyotrophic Lateral Sclerosis Research
- Temporomandibular Joint Disorders
- Pain Mechanisms and Treatments
- Peripheral Nerve Disorders
Resonance Research (United States)
2016-2025
University of Minnesota
2016-2025
University of Minnesota System
2015-2024
University of Minnesota Medical Center
2011-2022
Forschungszentrum Jülich
2022
RWTH Aachen University
2022
Université Libre de Bruxelles
2022
John Wiley & Sons (United States)
2021
Hudson Institute
2021
Sorbonne Université
2009
Abstract q‐Ball imaging is a high‐angular‐resolution diffusion technique that has been proven very successful in resolving multiple intravoxel fiber orientations MR images. The standard computation of the orientation distribution function (the probability given direction) from q‐ball data uses linear radial projection, neglecting change volume element along each direction. This results spherical distributions are different true functions. For instance, they neither normalized nor as sharp...
In diffusion MRI, a technique known as spectrum imaging reconstructs the propagator with discrete Fourier transform, from Cartesian sampling of signal. Alternatively, it is possible to directly reconstruct orientation distribution function in q-ball imaging, providing so-called high angular resolution imaging. between these two techniques, acquisitions on several spheres q-space offer an interesting trade-off and radial information gathered MRI. A careful design central success multishell...
Purpose To examine the effects of reconstruction algorithm magnitude images from multichannel diffusion MRI on fiber orientation estimation. Theory and Methods It is well established that method used to combine signals different coil elements in can have an impact properties reconstructed image. Using a root‐sum‐of‐squares approach results signal follows effective noncentral‐χ distribution. As result, noise floor, minimum measurable absence any true signal, elevated. This particularly...
Basal ganglia circuits are affected in neurological disorders such as Parkinson's disease (PD), essential tremor, dystonia and Tourette syndrome. Understanding the structural functional connectivity of these is critical for elucidating mechanisms movement neuropsychiatric disorders, vital developing new therapeutic strategies deep brain stimulation (DBS). Knowledge about human basal thalamus has rapidly evolved over recent years through non-invasive imaging techniques, but remained...
Determining the acquisition parameters in diffusion magnetic resonance imaging (dMRI) is governed by a series of trade-offs. Images lower resolution have less spatial specificity but higher signal to noise ratio (SNR). At same time angular contrast, important for resolving complex fibre patterns, also yields SNR. Considering these trade-offs, Human Connectome Project (HCP) acquires high quality dMRI data subjects at different field strengths (3T and 7T), which are publically released. Due...
Diffusion-weighted magnetic resonance imaging (dMRI) has found great utility for a wide range of neuroscientific and clinical applications. However, high-resolution dMRI, which is required improved delineation fine brain structures connectomics, hampered by its low signal-to-noise ratio (SNR). Since dMRI relies on the acquisition multiple different diffusion weighted images same anatomy, it well-suited denoising methods that utilize correlations across image series to improve apparent SNR...
<h3>Objective</h3> To determine whether there are diffusion abnormalities along the fibers connecting sensorimotor regions, including primary areas and striatum, in patients with writer's cramp using voxel-based analysis fiber tracking. Recent studies have shown structural changes these regions cramp. <h3>Design</h3> Patient control group comparison. <h3>Setting</h3> Referral center for movement disorders. <h3>Participants</h3> Twenty-six right-handed 26 healthy subjects matched sex age....
Abstract Although brain functionality is often remarkably robust to lesions and other insults, it may be fragile when these take place in specific locations. Previous attempts quantify robustness fragility sought understand how the functional connectivity of networks affected by structural changes, using either model-based predictions or empirical studies effects lesions. We advance a geometric viewpoint relying on notion network curvature, so-called Ollivier-Ricci curvature. This approach...
Abstract In a companion paper by Cohen-Adad et al . we introduce the spine generic quantitative MRI protocol that provides valuable metrics for assessing spinal cord macrostructural and microstructural integrity. This was used to acquire single subject dataset across 19 centers multi-subject 42 (for total of 260 participants), spanning three main manufacturers: GE, Philips Siemens. Both datasets are publicly available via git-annex. Data were analysed using Spinal Cord Toolbox produce...
Abstract Background Clinical trials for upcoming disease‐modifying therapies of spinocerebellar ataxias (SCA), a group rare movement disorders, lack endpoints sensitive to early disease progression, when therapeutics will be most effective. In addition, regulatory agencies emphasize the importance biological outcomes. Objectives READISCA, transatlantic clinical trial readiness consortium, investigated whether advanced multimodal magnetic resonance imaging (MRI) detects pathology progression...
We address the problem of segmentation cerebral white matter structures from diffusion tensor images (DTI). A DTI produces, a set diffusion-weighted MR images, tensor-valued where each voxel is assigned with 3 times symmetric, positive-definite matrix. This second order simply covariance matrix local Gaussian process, zero-mean, modeling average motion water molecules. As we will show in this paper, definition dissimilarity measure and statistics between such quantities nontrivial task which...
Quantitative investigations of fiber orientation and structural connectivity at microscopic resolution have led to great challenges for current neuroimaging techniques. Here, we present a structure tensor (ST) analysis ex vivo rat brain images acquired by multicontrast (MC) serial optical coherence scanner. The ST considers the gradients in local neighbors generate matrix whose eigen-decomposition can estimate features such as edges, anisotropy, tissue constituents. This computational is...
Investigating the utility of RF parallel transmission (pTx) for Human Connectome Project (HCP)-style whole-brain diffusion MRI (dMRI) data at 7 Tesla (7T).Healthy subjects were scanned in pTx and single-transmit (1Tx) modes. Multiband (MB), single-spoke pulses designed to image sagittal slices. HCP-style dMRI (i.e., 1.05-mm resolutions, MB2, b-values = 1000/2000 s/mm2 , 286 images 40-min scan) with higher accelerations (MB3 MB4) acquired pTx.pTx significantly improved flip-angle detected...
Abstract A joint structural-functional brain network model is presented, which enables the discovery of function-specific circuits, and recovers structural connections that are under-estimated by diffusion MRI (dMRI). Incorporating information from functional (fMRI) into to estimate circuits a challenging task. Usually, seed regions for tractography selected fMRI activation maps extract white matter pathways interest. The proposed method jointly analyzes whole dMRI data, allowing estimation...