scholarly journals Ultra-high b-value DWI in distinguishing fresh gray matter ischemic lesions from white matter ones: a comparative study with routine and high b-value DWI

2021 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Xinming Huang ◽  
Xue Xu ◽  
Yifan Sun ◽  
Guoen Cai ◽  
Rifeng Jiang ◽  
...  
2012 ◽  
Vol 201 (2) ◽  
pp. 144-151 ◽  
Author(s):  
Philipp Sebastian Baumann ◽  
Leila Cammoun ◽  
Philippe Conus ◽  
Kim Quang Do ◽  
Pierre Marquet ◽  
...  

NeuroImage ◽  
2007 ◽  
Vol 37 (1) ◽  
pp. 40-47 ◽  
Author(s):  
Dafna Ben Bashat ◽  
Vered Kronfeld-Duenias ◽  
Ditza A. Zachor ◽  
Perla M. Ekstein ◽  
Talma Hendler ◽  
...  

2021 ◽  
Author(s):  
Tianxiu Zheng ◽  
Qiuyan Chen ◽  
Yanhua Qiu ◽  
Deyong Zhang ◽  
Liwei Shi ◽  
...  

Abstract To evaluate the diagnostic value of multi-ultra high b-value diffusion-weighted imaging (UHBV-DWI) in Alzheimer’s disease (AD), and to build a regression prediction modelfor AD.90 participants including 30 AD, 30 mild cognitive impairments (MCI) and 30 volunteers without neurological diseases were enrolled to perform with hippocampal volume, white matter hyperintensities volume (WMH volume), periventricular white matter hyperintensity (PVWMH) score, deep white matter hyperintensity (DWMH) score and UHBV-DWI.We found UHBV-DWI outperformed in the diagnosis of AD (AUC = 0.858), and multiple linear regression model: y = 0.515 + 0.018 *(WMH volume) + 0.221 *(ADCuh value)-0.359 *(left hippocampus volume) were established.So we came to a conclusion: UHBV-DWI is helpful for diagnosing AD, and the combination of WMH volume and left hippocampus volume has a better diagnostic performance.


2005 ◽  
Vol 21 (5) ◽  
pp. 503-511 ◽  
Author(s):  
Dafna Ben Bashat ◽  
Liat Ben Sira ◽  
Moshe Graif ◽  
Pazit Pianka ◽  
Talma Hendler ◽  
...  

2016 ◽  
Vol 12 (2) ◽  
pp. 951-956 ◽  
Author(s):  
Qiguang Cheng ◽  
Xiaoquan Xu ◽  
Qingquan Zu ◽  
Shanshan Lu ◽  
Jing Yu ◽  
...  

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Hikaru Fukutomi ◽  
Matthew F. Glasser ◽  
Katsutoshi Murata ◽  
Thai Akasaka ◽  
Koji Fujimoto ◽  
...  

2020 ◽  
Author(s):  
Amy FD Howard ◽  
Frederik J Lange ◽  
Jeroen Mollink ◽  
Michiel Cottaar ◽  
Mark Drakesmith ◽  
...  

AbstractBy analysing the diffusion MRI signal, we can infer information about the microscopic structure of the brain. Two parameters of interest - the intra-axonal axial diffusivity and fibre orientation dispersion - are potential biomarkers for very different aspects of the white matter microstructure, yet they are difficult to disentangle. The parameters covary such that, if one is not accurately accounted for, the other will be biased. In this work we use high b-value data to isolate the signal from the intra-axonal compartment and resolve any degeneracies with the extra-axonal compartment. In the high b-value regime, we then use a model of dispersed sticks to estimate the intra-axonal axial diffusivity and fibre orientation distribution on a voxelwise basis. Our results in in vivo, human data show an intra-axonal axial diffusivity of ~ 2.3 – 3 μm2/ms, where 3 μm2/ms is the diffusivity of free water at 37°C. The intra-axonal axial diffusivity is seen to vary considerably across the white matter. For example, in the corpus callosum we find high values in the genu and splenium, and lower values in the midbody. Furthermore, the axial diffusivity and orientation dispersion appear negatively correlated, behaviour which we show is consistent with the presence of fibre undulations but not consistent with a degeneracy between fanning fibres and axial diffusivity. Finally, we demonstrate that the parameter maps output from Neurite Orientation Dispersion and Density Imaging (NODDI) change substantially when the assumed axial diffusivity was increased from 1.7 to 2.5 or 3 μm2/ms.


Author(s):  
Dana M. Szeles ◽  
Nicholas J. Milano ◽  
Hunter J. Moss ◽  
Maria Vittoria Spampinato ◽  
Jens H. Jensen ◽  
...  

Abstract Objective: Leukoaraiosis, or white matter rarefaction, is a common imaging finding in aging and is presumed to reflect vascular disease. When severe in presentation, potential congenital or acquired etiologies are investigated, prompting referral for neuropsychological evaluation in addition to neuroimaging. T2-weighted imaging is the most common magnetic resonance imaging (MRI) approach to identifying white matter disease. However, more advanced diffusion MRI techniques may provide additional insight into mechanisms that influence the abnormal T2 signal, especially when clinical presentations are discrepant with imaging findings. Method: We present a case of a 74-year-old woman with severe leukoaraoisis. She was examined by a neurologist, neuropsychologist, and rheumatologist, and completed conventional (T1, T2-FLAIR) MRI, diffusion tensor imaging (DTI), and advanced single-shell, high b-value diffusion MRI (i.e., fiber ball imaging [FBI]). Results: The patient was found to have few neurological signs, no significant cognitive impairment, a negative workup for leukoencephalopathy, and a positive antibody for Sjogren’s disease for which her degree of leukoaraiosis would be highly atypical. Tractography results indicate intact axonal architecture that was better resolved using FBI rather than DTI. Conclusions: This case illustrates exceptional cognitive resilience in the face of severe leukoaraiosis and the potential for advanced diffusion MRI to identify brain reserve.


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