Results 171 to 180 of about 4,607 (203)
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Magnetic Resonance in Medicine, 2016
PurposeOur objective was to demonstrate the feasibility of using hyperventilation as an efficient vasoconstrictive challenge and prior knowledge as denoising constraints for cerebral metabolic rate of oxygen (CMRO2) mapping based upon quantitative susceptibility mapping (QSM).MethodsThree‐dimensional (3D) multi‐echo gradient echo and arterial spin ...
Jingwei, Zhang +5 more
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PurposeOur objective was to demonstrate the feasibility of using hyperventilation as an efficient vasoconstrictive challenge and prior knowledge as denoising constraints for cerebral metabolic rate of oxygen (CMRO2) mapping based upon quantitative susceptibility mapping (QSM).MethodsThree‐dimensional (3D) multi‐echo gradient echo and arterial spin ...
Jingwei, Zhang +5 more
openaire +2 more sources
INR-QSM: unsupervised quantitative susceptibility mapping using implicit neural representation
ISMRM Annual MeetingThis study introduced an unsupervised deep learning-based method for QSM reconstruction using implicit neural representation (INR-QSM), a training databases-free method for high-quality QSM reconstruction. In INR-QSM, the susceptibility map was represented as a continuous function of the spatial coordinates.
Ming Zhang, Yuyao Zhang, Hongjiang Wei
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Inhomogeneity-informed Field-fitting for Quantitative Susceptibility Mapping (if-QSM)
ISMRM Annual MeetingMotivation: Inhomogeneity in measured multi-gradient echo (mGRE) field data corrupts reconstructions of quantitative susceptibility maps by obscuring the tissue field of interest with strong background field. Goal(s): To extend the voxel spread function (VSF) library implementation to a nonzero phase offset and demonstrate improvements on QSM. Approach:
Alexandra Roberts +4 more
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Magnetic Resonance Imaging, 2018
To image the entire vasculature of the brain with complete suppression of signal from background tissue using a single 3D excitation interleaved rephased/dephased multi-echo gradient echo sequence. This ensures no loss of signal from fast flow and provides co-registered susceptibility weighted images (SWI) and quantitative susceptibility maps (QSM ...
Yongsheng Chen +5 more
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To image the entire vasculature of the brain with complete suppression of signal from background tissue using a single 3D excitation interleaved rephased/dephased multi-echo gradient echo sequence. This ensures no loss of signal from fast flow and provides co-registered susceptibility weighted images (SWI) and quantitative susceptibility maps (QSM ...
Yongsheng Chen +5 more
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Studying psychiatric diseases using quantitative susceptibility mapping (QSM)
Quantitative Susceptibility Mapping (QSM), a sophisticated MRI-based technique for quantifying brain magnetic susceptibility, has emerged as a valuable tool in exploring neurodegenerative diseases and, more recently, psychiatric disorders such as first-episode schizophrenia, depression, anxiety, and stress.openaire +1 more source
NMR in Biomedicine
AbstractQuantitative Susceptibility Mapping (QSM) is an advanced magnetic resonance imaging (MRI) technique to quantify the magnetic susceptibility of the tissue under investigation. Deep learning methods have shown promising results in deconvolving the susceptibility distribution from the measured local field obtained from the MR phase.
Naveen Paluru +2 more
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AbstractQuantitative Susceptibility Mapping (QSM) is an advanced magnetic resonance imaging (MRI) technique to quantify the magnetic susceptibility of the tissue under investigation. Deep learning methods have shown promising results in deconvolving the susceptibility distribution from the measured local field obtained from the MR phase.
Naveen Paluru +2 more
openaire +2 more sources
ISMRM Annual Meeting
Motivation: To improve outcome prediction for deep brain stimulation (DBS) surgery using radiomic features on quantitative susceptibility maps (QSMs). Goal(s): To address the inconsistent levodopa challenge test (LCT) prediction for DBS outcomes by describing the target variable, motor symptom improvement, as a weighted sum of QSM radiomic features ...
Alexandra Roberts +9 more
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Motivation: To improve outcome prediction for deep brain stimulation (DBS) surgery using radiomic features on quantitative susceptibility maps (QSMs). Goal(s): To address the inconsistent levodopa challenge test (LCT) prediction for DBS outcomes by describing the target variable, motor symptom improvement, as a weighted sum of QSM radiomic features ...
Alexandra Roberts +9 more
openaire +1 more source
Mapping genomic loci implicates genes and synaptic biology in schizophrenia
Nature, 2022Vassily Trubetskoy +2 more
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A systemic approach to mapping participation with low-carbon energy transitions
Nature Energy, 2021Jason Chilvers +2 more
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Mapping the genomic diaspora of gastric cancer
Nature Reviews Cancer, 2021Khay-Guan Yeoh, Patrick Tan
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