Results 71 to 80 of about 3,926,912 (305)

Microstructural parameter estimation in vivo using diffusion MRI and structured prior information. [PDF]

open access: yes, 2016
Diffusion MRI has recently been used with detailed models to probe tissue microstructure. Much of this work has been performed ex vivo with powerful scanner hardware, to gain sensitivity to parameters such as axon radius.
Weiskopf, N   +14 more
core   +1 more source

USE OF STRUCTURAL MRI IN PATIENTS WITH MEDICALLY REFRACTORY SEIZURES [PDF]

open access: yesJournal of IMAB, 2012
Introduction: Refractory epilepsy is common in patients with structural brain lesions including acquired disorders and genetic abnormalities. Recently, MRI is a precise diagnostic tool for recognition of different structural causes underlying medically ...
Ara G. Kaprelyan   +4 more
doaj  

PhysVENeT: a physiologically-informed deep learning-based framework for the synthesis of 3D hyperpolarized gas MRI ventilation

open access: yesScientific Reports, 2023
Functional lung imaging modalities such as hyperpolarized gas MRI ventilation enable visualization and quantification of regional lung ventilation; however, these techniques require specialized equipment and exogenous contrast, limiting clinical adoption.
Joshua R. Astley   +12 more
doaj   +1 more source

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

open access: yesAnnals 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   +13 more
wiley   +1 more source

Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig   +9 more
wiley   +1 more source

Detecting schizophrenia with 3D structural brain MRI using deep learning

open access: yesScientific Reports, 2023
Schizophrenia is a chronic neuropsychiatric disorder that causes distinct structural alterations within the brain. We hypothesize that deep learning applied to a structural neuroimaging dataset could detect disease-related alteration and improve ...
Junhao Zhang   +10 more
doaj   +1 more source

Diagnosis and prognosis of Alzheimer's disease using brain morphometry and white matter connectomes

open access: yesNeuroImage: Clinical, 2019
Accurate, reliable prediction of risk for Alzheimer's disease (AD) is essential for early, disease-modifying therapeutics. Multimodal MRI, such as structural and diffusion MRI, is likely to contain complementary information of neurodegenerative processes
Yun Wang   +8 more
doaj   +1 more source

Quantitative MRI for the assessment of bone structure and function [PDF]

open access: yesNMR in Biomedicine, 2006
AbstractOsteoporosis is the most common degenerative disease in the elderly. It is characterized by low bone mass and structural deterioration of bone tissue, leading to morbidity and increased fracture risk in the hip, spine and wrist–all sites of predominantly trabecular bone.
Felix W, Wehrli   +3 more
openaire   +2 more sources

Sex‐Stratified Association of Regional Dopamine Transporter Binding With Disease Progression in Amyotrophic Lateral Sclerosis

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To clarify the clinical relevance of dopamine transporter single‐photon emission computed tomography (DAT‐SPECT) abnormalities in amyotrophic lateral sclerosis (ALS), with a prespecified focus on sex‐stratified associations with disease progression and short‐term prognosis.
Tomoya Kawazoe   +7 more
wiley   +1 more source

Identifying Schizophrenia Using Structural MRI With a Deep Learning Algorithm

open access: yesFrontiers in Psychiatry, 2020
ObjectiveAlthough distinctive structural abnormalities occur in patients with schizophrenia, detecting schizophrenia with magnetic resonance imaging (MRI) remains challenging.
Jihoon Oh   +5 more
doaj   +1 more source

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