Results 31 to 40 of about 26,290 (260)

Association Between Motor Pathway Damage and Motor Deficit in Upper and Lower Limb in People With MS

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Corticospinal tract damage is common in people with MS, but the degree of clinical symptoms varies. We hypothesize that corticospinal tract lesions are more extensive and severe in people with MS with motor impairments in both upper and lower limbs.
Mathilde Liffran, Malo Gaubert, Alice Dufey, Elise Bannier, Audrey Rico, Jean‐Christophe Ferré, Raphaël Chouteau, Laure Michel, Emmanuelle Le Page, Virginie Callot, Bertrand Audoin, Sarah Demortière, Benoît Combès, Anne Kerbrat   +13 more
wiley   +1 more source

Optimizing Automated Brain Extraction for Moderate to Severe Traumatic Brain Injury Patients: The Role of Intensity Normalization and Bias-Field Correction

Algorithms
Accurate brain extraction is crucial for the validity of MRI analyses, particularly in the context of traumatic brain injury (TBI), where conventional automated methods frequently fall short.
Patrick Carbone, Celina Alba, Alexis Bennett, Kseniia Kriukova, Dominique Duncan   +4 more
doaj   +1 more source

T1 Over Squared Proton Density Ratio to Characterize Multiple Sclerosis Lesions

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Differentiating remyelinated from demyelinated lesions in MS remains challenging without histological confirmation. This study introduces the T1‐to‐PD2 ratio (TPR) imaging approach and evaluates its ability to characterize MS lesions alongside other quantitative MRI (qMRI) metrics. Methods Thirty individuals with MS (mean age: 47.5 ± 
Sarah J. Wright, Scotty G. McKay, Jean Ramos Bou, Fen Bao, Vivian B. Truong, Chenyang Li, Li Jiang, Anza B. Memon, E. Mark Haacke, Yulin Ge, Yongsheng Chen   +10 more
wiley   +1 more source

Quantitative MRI Uncovers Subtle Cortical Damage in Myelin Oligodendrocyte Glycoprotein Antibody‐Associated Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether myelin‐sensitive quantitative MRI reveals microstructural abnormalities in normal‐appearing cortex (NACtx) in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), indicating that conventional MRI underestimates remission residual cortical injury.
Valentina Camera, Agnese Tamanti, Silvia Messina, Nicola Dall'Osto, Teresa Maltempo, Stefano Ziccardi, Matteo Foschi, Maria Grazia Piscaglia, Diana Ferraro, Francesco Crescenzo, Francesca Rossi, Albulena Bajrami, Sabrina Marangoni, Damiano Marastoni, Francesca Benedetta Pizzini, Maria Isabel Leite, Roberta Magliozzi, Patrick Waters, Massimiliano Calabrese, Jacqueline Palace, Ruth Geraldes   +20 more
wiley   +1 more source

Magnetic resonance imaging bias field estimation and tissue segmentation via convolutional neural networks and multiplicative and additive intrinsic components optimization

Intelligent Medicine
Objective: Magnetic resonance imaging (MRI) brain tissue segmentation is essential for the diagnosis and treatment of neurological diseases; however, intensity inhomogeneity poses a significant challenge, particularly in data-limited scenarios.
Jun Liu, Yuliang Peng, Mingshu Pu, Ling Tang, Lizhi Shao, Pengxiang Wang, Lan Yang, Furong Huang, Zijie Shen, Chunming Li   +9 more
doaj   +1 more source

Fast Region-based Active Contour Model Driven by Local Signed Pressure Force

ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2016
Intensity inhomogeneity is a well-known problem in image segmentation. In this paper, we present a new region-based active contour model for image segmentation which can handle intensity inhomogeneity problem.
Abdallah Azizi, Kaouther Elkourd
doaj   +1 more source

A fast method for computing and correcting intensity inhomogeneities in MRI

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
In magnetic resonance imaging (MRI) a given tissue may have quite different intensities depending on its location in the image volume. Such intensity inhomogeneities often arise from what is usually called the bias field, and are due to radio frequency inhomogeneities, variations in the static magnetic field and the distance of the tissue to the ...
Noterdaeme, O, Brady, S, IEEE
openaire   +1 more source

Thermodynamic Pathways of Nonequilibrium Solidification in Wire‐Arc Additive Manufacturing Fe‐Based Multicomponent Alloy Structures

Advanced Engineering Materials, EarlyView.
Geometry‐driven thermal behavior in wire‐arc additive manufacturing (WAAM) influences microstructural evolution during nonequilibrium solidification of a chemically complex Fe–Cr–Nb–W–Mo–C nanocomposite system. By comparing different deposits configurations, distinct entropy–cooling rate correlations, segregation, and carbide evolution are revealed ...
Blanca Palacios, Anthony Gonzalez, Aleksander Aleman, Tyler Dolmetsch, Tanaji Paul, Arvind Agarwal   +5 more
wiley   +1 more source

Novel Model Using Kernel Function and Local Intensity Information for Noise Image Segmentation

Tsinghua Science and Technology, 2018
It remains a challenging task to segment images that are distorted by noise and intensity inhomogeneity. To overcome these problems, in this paper, we present a novel region-based active contour model based on local intensity information and a kernel ...
Gang Li, Haifang Li, Ling Zhang
doaj   +1 more source

New Local Region Based Model for the Segmentation of Medical Images

IEEE Access, 2020
Segmentation of images having inhomogeneous intensities is always challenging. In this paper, we propose a model based on new local data statistics using local means and variances for detection of region of interest in medical images suffered from ...
Noor Badshah, Hadia Atta, Syed Inayat Ali Shah, Sobia Attaullah, Nasru Minallah, Mati Ullah   +5 more
doaj   +1 more source