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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

Diffusion MRI measures of the human brain provide key insight into microstructural variations across individuals and into the impact of central nervous system diseases and disorders. One approach to extract information from diffusion…

Medical Physics · Physics 2022-01-19 Qianqian Yang , David C. Reutens , Viktor Vegh

Background: Brain maturation and aging involve significant microstructural changes, resulting in functional and cognitive alterations. Quantitative MRI (qMRI) can measure this evolution, distinguishing the physiological effects of normal…

Purpose: The impact of microscopic diffusional kurtosis ($\mu K$) - arising from restricted diffusion and/or structural disorder - remains a controversial issue in contemporary diffusion MRI (dMRI). Recently, Correlation Tensor MRI (CTI)…

Biological Physics · Physics 2021-07-20 Rafael Neto Henriques , Sune Nørhøj Jespersen , Noam Shemesh

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.…

Determining if the brain is developing normally is a key component of pediatric neuroradiology and neurology. Brain magnetic resonance imaging (MRI) of infants demonstrates a specific pattern of development beyond simply myelination. While…

Image and Video Processing · Electrical Eng. & Systems 2021-12-28 Mahdieh Shabanian , Markus Wenzel , John P. DeVincenzo

The ability to determine if the brain is developing normally is a key component of pediatric neuroradiology and neurology. Brain magnetic resonance imaging (MRI) of infants demonstrates a specific pattern of development beyond simply…

Image and Video Processing · Electrical Eng. & Systems 2020-10-09 M. Shabanian , A. Siddiqui , H. Chen , J. P. DeVincenzo

Magnetic resonance imaging (MRI) is the method of choice for noninvasive studies of micrometer-scale structures in biological tissues via their effects on the time/frequency-dependent ("restricted") and anisotropic self-diffusion of water.…

Soft Condensed Matter · Physics 2021-11-16 Omar Narvaez , Maxime Yon , Hong Jiang , Diana Bernin , Eva Forssell-Aronsson , Alejandra Sierra , Daniel Topgaard

Predicting brain maturity using noninvasive magnetic resonance images (MRI) can distinguish different age groups and help to assess neurodevelopmental disorders. However, group-wise differences are often less informative for assessing…

Neurons and Cognition · Quantitative Biology 2014-12-17 Cheol E. Han , Luis R. Peraza , John-Paul Taylor , Marcus Kaiser

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

Diffusional Kurtosis Imaging (DKI) is a sensitive biomarker for microstructure in health and disease. However, DKI is not specific to any microstructural property since it may emerge from several different sources. Q-space trajectory…

Medical Physics · Physics 2020-03-06 Rafael Neto Henriques , Sune Nørhøj Jespersen , Noam Shemesh

Microscopic diffusion anisotropy ({\mu}A) has been recently gaining increasing attention for its ability to decouple the average compartment anisotropy from orientation dispersion. Advanced diffusion MRI sequences, such as double diffusion…

Elevated kurtosis values have been observed in subcortical grey matter structures of patients with neurodegenerative diseases. Here we tested whether these elevated values are related to iron content, which generate magnetic fields that add…

Medical Physics · Physics 2026-01-05 Jason Langley , Kitzia Solis , Vala Masjedizadeh , Murphy Shao , Ilana Bennett , Xiaoping P. Hu

Important applications of advancements in machine learning, are in the area of healthcare, more so for neurological disorder detection. A crucial step towards understanding the neurological status, is to estimate the brain age using…

Image and Video Processing · Electrical Eng. & Systems 2024-07-10 Vamshi Krishna Kancharla , Neelam Sinha

Human brain maturation is characterized by the prolonged development of structural and functional properties of large-scale networks that extends into adulthood. However, it is not clearly understood which features change and which remain…

Neurons and Cognition · Quantitative Biology 2014-04-02 Sol Lim , Cheol E. Han , Peter J. Uhlhaas , Marcus Kaiser

Motivation: Characterising the changes in cortical morphology across the lifespan is fundamental for a range of research and clinical applications. Most studies to date have found a monotonic decrease in commonly used morphometrics, such as…

The dependence of the diffusion MRI signal on the diffusion time $t$ is a hallmark of tissue microstructure at the scale of the diffusion length. Here we measure the time-dependence of the mean diffusivity $D(t)$ and mean kurtosis $K(t)$ in…

Medical Physics · Physics 2020-08-06 Hong-Hsi Lee , Antonios Papaioannou , Dmitry S. Novikov , Els Fieremans

Human brain development is rapid during infancy and early childhood. Many disease processes impair this development. Therefore, brain developmental age estimation (BDAE) is essential for all diseases affecting cognitive development. Brain…

Image and Video Processing · Electrical Eng. & Systems 2019-11-06 Mahdieh Shabanian , Eugene C. Eckstein , Hao Chen , John P. DeVincenzo

In Multiple Sclerosis (MS), there is a large discrepancy between the clinical observations and how the pathology is exhibited on brain images, this is known as the clinical-radiological paradox (CRP). One of the hypotheses is that the…

Image and Video Processing · Electrical Eng. & Systems 2023-07-28 Haykel Snoussi , Emmanuel Caruyer , Benoit Combes , Olivier Commowick , Elise Bannier , Anne Kerbrat , Julien Cohen-Adad , Christian Barillot

The purpose of this study is to present and compare three denoising diffusion probabilistic models (DDPMs) that generate 3D $T_1$-weighted MRI human brain images. Three DDPMs were trained using 80,675 image volumes from 42,406 subjects…

Image and Video Processing · Electrical Eng. & Systems 2025-11-03 Samuel W. Remedios , Aaron Carass , Jerry L. Prince , Blake E. Dewey
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