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Multiple sclerosis is an inflammatory disorder of the central nervous system. Quantitative MRI has huge potential to provide intrinsic and normative values of tissue properties useful for diagnosis, prognosis and ultimately clinical…

Image and Video Processing · Electrical Eng. & Systems 2023-10-03 Haykel Snoussi , Julien Cohen-Adad , Benoit Combes , Elise Bannier , Slimane Tounekti , Anne Kerbrat , Christian Barillot , Emmanuel Caruyer

Many developmental processes, such as plasticity and aging, or pathological processes such as neurological diseases are characterized by modulations of specific cellular types and their microstructures. Diffusion-weighted Magnetic Resonance…

Medical Physics · Physics 2019-03-26 Marco Palombo , Noam Shemesh , Itamar Ronen , Julien Valette

Mild Traumatic Brain Injury (mTBI) is a significant public health problem. The most troubling symptoms after mTBI are cognitive complaints. Studies show measurable differences between patients with mTBI and healthy controls with respect to…

Image and Video Processing · Electrical Eng. & Systems 2019-11-12 Tongda Xu , Xiyan Cai , Yao Wang , Xiuyuan Wang , Sohae Chung , Els Fieremans , Joseph Rath , Steven Flanagan , Yvonne W Lui

Alzheimer's disease (AD) is a progressive neurodegenerative disorder in which pathological changes begin many years before the onset of clinical symptoms, making early detection essential for timely intervention. T1-weighted (T1w) Magnetic…

Computer Vision and Pattern Recognition · Computer Science 2026-01-21 Jason Qiu

Biophysical modeling of diffusion MRI (dMRI) offers the exciting potential of bridging the gap between the macroscopic MRI resolution and microscopic cellular features, effectively turning the MRI scanner into a noninvasive in vivo…

Biophysical modelling of diffusion MRI is necessary to provide specific microstructural tissue properties. However, estimating model parameters from data with limited diffusion gradient strength, such as clinical scanners, has proven…

Medical Physics · Physics 2019-03-21 Sune Nørhøj Jespersen , Jonas Lynge Olesen , Brian Hansen , Noam Shemesh

\hspace{2mm} Diffusion-weighted magnetic resonance imaging (dMRI) of the brain offers unique capabilities including noninvasive probing of tissue microstructure and structural connectivity. It is widely used for clinical assessment of…

Image and Video Processing · Electrical Eng. & Systems 2025-12-30 Davood Karimi , Simon K. Warfield

Diffusion probabilistic models (DPMs) have exhibited significant effectiveness in computer vision tasks, particularly in image generation. However, their notable performance heavily relies on labelled datasets, which limits their…

Computer Vision and Pattern Recognition · Computer Science 2024-05-09 Keqiang Fan , Xiaohao Cai , Mahesan Niranjan

Over the past few decades, magnetic resonance imaging has been utilized as a powerful imaging modality to evaluate the structure and function of various organs in the human body,such as the brain. Additionally, diffusion and perfusion MR…

Medical Physics · Physics 2016-12-12 Sanam Assili

Diffusion magnetic resonance imaging is a noninvasive imaging technique that can indirectly infer the microstructure of tissues and provide metrics which are subject to normal variability across subjects. Potentially abnormal values or…

Image and Video Processing · Electrical Eng. & Systems 2020-08-28 Samuel St-Jean , Max A. Viergever , Alexander Leemans

Diffusion Magnetic Resonance Imaging (dMRI) is sensitive to white matter (WM) changes across the human lifespan. Several models have been proposed to provide more specific metrics than those provided by the conventional Diffusion Tensor…

Medical Physics · Physics 2023-06-19 Rafael Neto Henriques1 , Richard Henson , Cam-CAN , Marta Morgado Correia

Alzheimer's disease (AD) is characterized by progressive microstructural deterioration in brain tissue, yet conventional imaging and histopathology often lack the sensitivity needed to detect subtle early-stage changes. Here, we present a…

Medical Physics · Physics 2025-12-09 Santanu Maity , Mousa Alrubayan , Mohammad Moshahid Khan , Prabhakar Pradhan

Water diffusion MRI is a very powerful tool for probing tissue microstructure, but disentangling the contribution of compartment-specific structural disorder from cellular restriction and inter-compartment exchange remains an open…

Medical Physics · Physics 2024-02-09 Eloïse Mougel , Julien Valette , Marco Palombo

In vivo mapping of the neurite density with diffusion MRI (dMRI) is a high but challenging aim. First, it is unknown whether all neurites exhibit completely anisotropic ('stick-like') diffusion. Second, the 'density' of tissue components…

Brain lesions are abnormalities or injuries in brain tissue that are often detectable using magnetic resonance imaging (MRI), which reveals structural changes in the affected areas. This broad definition of brain lesions includes areas of…

Computer Vision and Pattern Recognition · Computer Science 2025-07-09 Omar Zamzam , Haleh Akrami , Anand Joshi , Richard Leahy

We enable the estimation of the per-axon axial diffusivity from single encoding, strongly diffusion-weighted, pulsed gradient spin echo data. Additionally, we improve the estimation of the per-axon radial diffusivity compared to estimates…

Medical Physics · Physics 2022-07-07 Marco Pizzolato , Erick Jorge Canales-Rodríguez , Mariam Andersson , Tim B. Dyrby

Diffusion functional MRI (dfMRI) is a promising technique to map functional activations by acquiring diffusion-weighed spin-echo images. In previous studies, dfMRI showed higher spatial accuracy at activation mapping compared to classic…

Medical Physics · Physics 2019-08-15 Alberto De Luca , Lara Schlaffke , Jeroen CW Siero , Martijn Froeling , Alexander Leemans

Diffusion Magnetic Resonance Imaging (MRI) exploits the anisotropic diffusion of water molecules in the brain to enable the estimation of the brain's anatomical fiber tracts at a relatively high resolution. In particular, tractographic…

Computational Engineering, Finance, and Science · Computer Science 2016-09-14 Yu Jin , Joseph F. JaJa , Rong Chen , Edward H. Herskovits

Estimated brain age from magnetic resonance image (MRI) and its deviation from chronological age can provide early insights into potential neurodegenerative diseases, supporting early detection and implementation of prevention strategies.…

Generating realistic images to accurately predict changes in the structure of brain MRI is a crucial tool for clinicians. Such applications help assess patients' outcomes and analyze how diseases progress at the individual level. However,…

Image and Video Processing · Electrical Eng. & Systems 2024-06-19 Mattia Litrico , Francesco Guarnera , Valerio Giuffirda , Daniele Ravì , Sebastiano Battiato