Results 51 to 60 of about 226,708 (241)

Quantitative susceptibility mapping as an imaging biomarker for Alzheimer’s disease: The expectations and limitations

Frontiers in Neuroscience, 2022
Alzheimer’s disease (AD) is the most common type of dementia and a distressing diagnosis for individuals and caregivers. Researchers and clinical trials have mainly focused on β-amyloid plaques, which are hypothesized to be one of the most important ...
Yuto Uchida, Yuto Uchida, Hirohito Kan, Keita Sakurai, Kenichi Oishi, Noriyuki Matsukawa   +5 more
doaj   +1 more source

Slowly expanding/evolving lesions as a magnetic resonance imaging marker of chronic active multiple sclerosis lesions. [PDF]

, 2019
BACKGROUND:Chronic lesion activity driven by smoldering inflammation is a pathological hallmark of progressive forms of multiple sclerosis (MS). OBJECTIVE:To develop a method for automatic detection of slowly expanding/evolving lesions (SELs) on ...
Arnold, Douglas L, Barkhof, Frederik, Belachew, Shibeshih, Bernasconi, Corrado, Elliott, Colm, Hauser, Stephen L, Kappos, Ludwig, Wei, Wei, Wolinsky, Jerry S   +8 more
core   +2 more sources

Iron deposition in Parkinson’s disease by quantitative susceptibility mapping

BMC Neuroscience, 2019
Background Patients with Parkinson’s disease (PD) have elevated levels of brain iron, especially in the nigrostriatal dopaminergic system. The purpose of this study was to evaluate the iron deposition in the substantia nigra (SN) and other deep gray ...
Qiqi Chen, Yiting Chen, Yue Zhang, Furu Wang, Hongchang Yu, Caiyuan Zhang, Zhen Jiang, Weifeng Luo   +7 more
doaj   +1 more source

Derivation of Del180 from sediment core log data\u27 Implications for millennial-scale climate change in the Labrador Sea [PDF]

, 2001
Sediment core logs from six sediment cores in the Labrador Sea show millennial-scale climate variability during the last glacial by recording all Heinrich events and several major Dansgaard-Oeschger cycles.
A. E. Aksu, Andrews, Best, Bond, Bond, Broecker, C. Hillaire-Marcel, Dansgaard, Dowdeswell, F. Rack, Francois, G. Bilodeau, Grootes, Hagelberg, Hamilton, Hamilton, Harris, Heinrich, Hillaire-Marcel, Hillaire-Marcel, Hiscott, Holler, Kissel, L. A. Mayer, Lazier, M. E. Weber, Mayer, Mayer, Mayer, McAyeal, McCave, Mienert, Moros, Oppo, Paillard, Pisias, R. N. Hiscott, Rasmussen, Schön, Shackleton, Stoner, Stoner, Sy, Weber, Weber, Wood   +45 more
core   +2 more sources

Reducing Streaking Artifacts in Quantitative Susceptibility Mapping [PDF]

SIAM Journal on Imaging Sciences, 2017
It is well-known that reconstruction algorithms in quantitative susceptibility mapping often contain streaking artifacts. In [1], the cause of the artifacts is identified as propagation of singularities. In this work, we analyze such singularities carefully and propose some strategies to reduce the artifacts.
Palacios, Benjamin, Uhlmann, Gunther, Wang, Yiran   +2 more
openaire   +4 more sources

Biophysical contrast sources for magnetic susceptibility and R2* mapping: A combined 7 Tesla, mass spectrometry and electron paramagnetic resonance study

NeuroImage
Iron is the most abundant trace metal in the human brain and consistently shown elevated in prevalent neurological disorders. Because of its paramagnetism, brain iron can be assessed in vivo by quantitative MRI techniques such as R2* mapping and ...
Fábio Seiji Otsuka, Maria Concepción Garcia Otaduy, Roberta Diehl Rodriguez, Christian Langkammer, Jeam Haroldo Oliveira Barbosa, Carlos Ernesto Garrido Salmon   +5 more
doaj   +1 more source

Imaging the Centromedian Thalamic Nucleus Using Quantitative Susceptibility Mapping. [PDF]

, 2019
The centromedian (CM) nucleus is an intralaminar thalamic nucleus that is considered as a potentially effective target of deep brain stimulation (DBS) and ablative surgeries for the treatment of multiple neurological and psychiatric disorders.
Gutierrez, Lorenzo, Li, Dianyou, Li, Jun, Li, Yufei, Liu, Chunlei, Sun, Bomin, Wei, Hongjiang, Wu, Yiwen, Xu, Wenying, Zhang, Chencheng   +9 more
core  

Quantitative susceptibility mapping using deep neural network: QSMnet [PDF]

NeuroImage, 2018
This work is accepted in neuroimage on 8 June, 2018 and soon will be published.
Yoon, Jaeyeon, Gong, Enhao, Chatnuntawech, Itthi, Bilgic, Berkin, Lee, Jingu, Jung, Woojin, Ko, Jingyu, Jung, Hosan, Setsompop, Kawin, Zaharchuk, Greg, Kim, Eung Yeop, Pauly, John, Lee, Jongho   +12 more
openaire   +3 more sources

A review on spatial, temporal and magnitude prediction of landslide hazard

Journal of Asian Earth Sciences: X, 2022
Over the last few decades, several landslide susceptibility and hazard mapping (LSHM) techniques have been developed. Maps for the same region have also been generated by different individuals following dissimilar approaches, which can be grouped into ...
Ankit Tyagi, Reet Kamal Tiwari, Naveen James   +2 more
doaj   +1 more source

Advances in neuroimaging applications of quantitative susceptibility mapping

Meta-Radiology
This review article delves into the advancements of quantitative susceptibility mapping (QSM) in neuroimaging, highlighting its utility in detecting and quantifying magnetic susceptibility differences in tissues, particularly for paramagnetic substances ...
Shuxin Ma, Wencan Fu, Chao Chai, Huiying Wang, Ke Lv, Chenxi Zhao, E. Mark Haacke, Sagar Buch, Shuang Xia   +8 more
doaj   +1 more source