Results 51 to 60 of about 5,320,256 (311)

Active Inflammatory and Chronic Structural Damages of Sacroiliac Joint in Patients With Radiographic Axial Spondyloarthritis and Non-Radiographic Axial Spondyloarthritis

Frontiers in Immunology, 2021
ObjectiveEvaluate the MRI evidence of active inflammatory and chronic structural damages in radiographic axial spondyloarthritis (r-axSpA) and non-radiographic axial spondyloarthritis (nr-axSpA).MethodsA retrospective review of 253 patients who underwent
Liudan Tu, Churong Lin, Ya Xie, Xiaohong Wang, Qiujing Wei, Yanli Zhang, Jieruo Gu   +6 more
doaj   +1 more source

Structural MRI

International Psychogeriatrics, 2011
Clinical neuroimaging is increasingly being used in the diagnosis of neurodegenerative diseases and has become one of the most important paraclinical tools in the diagnosis of dementia. According to current guidelines, neuroimaging, preferably magnetic resonance imaging (MRI), should be performed at least once during the diagnostic work-up of patients ...
openaire   +3 more sources

MRI evidence of structural changes in the sacroiliac joints of patients with non-radiographic axial spondyloarthritis even in the absence of MRI inflammation

Arthritis Research & Therapy, 2017
Background Studies have shown that structural lesions may be present in patients with non-radiographic axial spondyloarthritis (nr-axSpA). However, the relevance of structural lesions in these patients is unclear, particularly without signs of ...
Walter P. Maksymowych, Stephanie Wichuk, Maxime Dougados, Heather Jones, Annette Szumski, Jack F. Bukowski, Lisa Marshall, Robert G. Lambert   +7 more
doaj   +1 more source

Neuroimaging Anomalies in Community-Dwelling Asymptomatic Adults With Very Early-Stage White Matter Hyperintensity

Frontiers in Aging Neuroscience, 2021
White matter hyperintensity (WMH) is common in healthy adults in their 60s and can be seen as early as in their 30s and 40s. Alterations in the brain structural and functional profiles in adults with WMH have been repeatedly studied but with a focus on ...
Shuai Guan, Xiangyu Kong, Shifei Duan, Qingguo Ren, Zhaodi Huang, Ye Li, Wei Wang, Gaolang Gong, Xiangshui Meng, Xiangxing Ma   +9 more
doaj   +1 more source

CAT: a computational anatomy toolbox for the analysis of structural MRI data

GigaScience
A large range of sophisticated brain image analysis tools have been developed by the neuroscience community, greatly advancing the field of human brain mapping. Here we introduce the Computational Anatomy Toolbox (CAT)—a powerful suite of tools for brain
C. Gaser, R. Dahnke, P. Thompson, F. Kurth, Eileen Luders, the Alzheimer’s Disease Neuroimaging Initiative   +5 more
semanticscholar   +1 more source

Deep learning for the harmonization of structural MRI scans: a survey

BioMedical Engineering OnLine
Medical imaging datasets for research are frequently collected from multiple imaging centers using different scanners, protocols, and settings. These variations affect data consistency and compatibility across different sources.
Soolmaz Abbasi, Haoyu Lan, J. Choupan, Nasim Sheikh-Bahaei, Gaurav Pandey, Bino A. Varghese   +5 more
semanticscholar   +1 more source

Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA

NeuroImage, 2020
A common limitation of neuroimaging studies is their small sample sizes. To overcome this hurdle, the Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) Consortium combines neuroimaging data from many institutions worldwide.
Joaquim Radua, E. Vieta, R. Shinohara, P. Kochunov, Y. Quidé, Melissa J. Green, C. Weickert, T. Weickert, J. Bruggemann, T. Kircher, I. Nenadić, M. Cairns, M. Seal, U. Schall, F. Henskens, J. Fullerton, B. Mowry, C. Pantelis, Julian Pineda-Zapata   +18 more
semanticscholar   +1 more source

Longitudinal Structural MRI in Neurologically Healthy Adults [PDF]

Journal of Magnetic Resonance Imaging, 2020
BackgroundStructural brain MRI measures are frequently examined in both healthy and clinical groups, so an understanding of how these measures vary over time is desirable.PurposeTo test the stability of structural brain MRI measures over time.PopulationIn all, 112 healthy volunteers across four sites.Study TypeRetrospective analysis of prospectively ...
Gregory, S., Lohse, K.R., Johnson, E.B., Leavitt, B.R., Durr, A., Roos, R.A.C., Rees, G., Tabrizi, S.J., Scahill, R.I., Orth, M.   +9 more
openaire   +4 more sources

T2* Magnetic Resonance Imaging Uncovers Hemosiderin Burden in Pediatric Hemophilia: A Call for Sensitive Imaging Biomarkers

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Hemophilic arthropathy remains the leading morbidity in hemophilia despite modern prophylaxis, and early joint damage may be missed by routine exams. This study explored T2* MRI as a noninvasive biomarker of hemosiderin deposition in pediatric hemophilia.
Jessica Garcia, Tarique Hussain, Jeanne Dillenbeck, Matthew Hammer, Annette von Drygalski, Guy Young, Ayesha Zia   +6 more
wiley   +1 more source

Bayesian segmentation of brainstem structures in MRI

NeuroImage, 2015
In this paper we present a method to segment four brainstem structures (midbrain, pons, medulla oblongata and superior cerebellar peduncle) from 3D brain MRI scans. The segmentation method relies on a probabilistic atlas of the brainstem and its neighboring brain structures.
Iglesias, Juan Eugenio, Van Leemput, Koen, Bhatt, Priyanka, Casillas, Christen, Dutt, Shubir, Schuff, Norbert, Truran-Sacrey, Diana, Boxer, Adam L., Fischl, Bruce   +9 more
openaire   +6 more sources