Results 81 to 90 of about 226,708 (241)

Diamagnetic Signature of Beta‐Amyloid (Aβ) and Tau (τ) Tangle Pathology in Alzheimer's Disease: A Review

Aging Medicine
The complex interplay between diamagnetic and paramagnetic substances within the brain, particularly in the context of Alzheimer's disease (AD), offers a rich landscape for investigation using advanced quantitative neuroimaging techniques.
Sadegh Ghaderi, Sana Mohammadi, Farzad Fatehi   +2 more
doaj   +1 more source

Learning-based Single-step Quantitative Susceptibility Mapping Reconstruction Without Brain Extraction

, 2019
Quantitative susceptibility mapping (QSM) estimates the underlying tissue magnetic susceptibility from MRI gradient-echo phase signal and typically requires several processing steps.
Cao, Steven, Guan, Xiaojun, Liu, Chunlei, Wei, Hongjiang, Yan, Fuhua, Yeom, Kristen W., Zhang, Yuyao   +6 more
core  

Spatially Adaptive Regularization in Total Field Inversion for Quantitative Susceptibility Mapping

iScience, 2020
Summary: Adaptive Total Field Inversion is described for quantitative susceptibility mapping (QSM) reconstruction from total field data through a spatially adaptive suppression of shadow artifacts through spatially adaptive regularization.
Priya S. Balasubramanian, Pascal Spincemaille, Lingfei Guo, Weiyuan Huang, Ilhami Kovanlikaya, Yi Wang   +5 more
doaj   +1 more source

Modern approaches for breeding high quality apples with durable resistance to scab, powdery mildew and fire blight [PDF]

, 2008
New methods to allow for more precise selection of tree and fruit characters in breeding programmes were developed in recent years. Marker-assisted selection (MAS) is common practice in the ACW apple breeding programme at Wädenswil.
Duffy, Brion, Frey, Jürg, Kellerhals, Markus, Patocchi, Andrea   +3 more
core  

Investigating the effect of masking and background field removal algorithms on the quality of QSM reconstructions using a realistic numerical head phantom

NeuroImage
Background field removal (BFR) is an important step in the Quantitative Susceptibility Mapping (QSM) pipeline, enabling the reconstruction of local susceptibility distributions by removing contributions from sources outside the region of interest (ROI ...
Carlos Milovic, Patrick S. Fuchs, Mathias Lambert, Oriana Arsenov, Oliver C. Kiersnowski, Laxmi Muralidharan, Russell Murdoch, Jannette Nassar, Karin Shmueli   +8 more
doaj   +1 more source

R2* and quantitative susceptibility mapping in deep gray matter of 498 healthy controls from 5 to 90 years

, 2021
Sarah Treit, Nashwan Naji, Peter Seres, Julia N. Rickard, Emily Stolz, Alan H. Wilman, Christian Beaulieu   +6 more
openalex   +1 more source

Combining in vivo proton exchange rate (kex) MRI with quantitative susceptibility mapping to further stratify the gadolinium-negative multiple sclerosis lesions [PDF]

, 2023
Huiting Liao, Zimeng Cai, Haiqi Ye, QianLan Chen, Yan Zhang, Mehran Shaghaghi, Sarah E. Lutz, Weiwei Chen, Kejia Cai   +8 more
openalex   +1 more source

Collinear order in a frustrated three-dimensional spin-$\frac12$ antiferromagnet Li$_2$CuW$_2$O$_8$

, 2015
Magnetic frustration in three dimensions (3D) manifests itself in the spin-$\frac12$ insulator Li$_2$CuW$_2$O$_8$. Density-functional band-structure calculations reveal a peculiar spin lattice built of triangular planes with frustrated interplane ...
Kasinathan, D., Keller, L., Nath, R., Ranjith, K. M., Skoulatos, M., Skourski, Y., Tsirlin, A. A.   +6 more
core   +1 more source

Predicting Motor Outcome of Subthalamic Nucleus Deep Brain Stimulation for Parkinson’s Disease Using Quantitative Susceptibility Mapping and Radiomics: A Pilot Study [PDF]

, 2021
Yu Liu, Bin Xiao, Chencheng Zhang, Junchen Li, Yijie Lai, Feng Shi, Dinggang Shen, Linbin Wang, Bomin Sun, Yan Li, Zhijia Jin, Hongjiang Wei, E. Mark Haacke, Haiyan Zhou, Qian Wang, Dianyou Li, Naying He, Fuhua Yan   +17 more
openalex   +1 more source

Creation of a Computational Pipeline to Extract Genes from Quantitative Trait Loci for Diabetes and Obesity [PDF]

, 2015
Type 2 Diabetes is a disease of relative insulin deficiency resulting from a combination of insulin resistance and decreased beta-cell function. Over the past several years, over 60 genes have been identified for Type 2 Diabetes in human genome-wide ...
Fox, Joseph
core   +1 more source