Search results
Filter
Filetype
Your search for "*" yielded 534766 hits
Hidden lesions may confound 1H-MRS metabolite quantification by internal water referencing in individuals with multiple sclerosis.
Towards a standardized file format for basis spectra and fitting results for linear-combination modeling.
Prefrontal cortex metabolites measured by 7-Tesla proton magnetic resonance spectroscopy distinguish posttraumatic stress disorder and major depression from control with high sensitivity and specificity
Linear combination modeling of complex relative to real 1H MR spectra improves quantification precision
Abnormal glutamate metabolism in prefrontal cortex of post-traumatic stress disorder linked to comorbidity with major depression
Computation of Cramér-Rao Lower Bounds (CRLB) for spectral baseline shapes
The effects of basis sets on the analysis of in vivo brain MRS data obtained with standard PRESS sequences
Evaluation of the RF-MEP Method for Merging Multiple Gridded Precipitation Products in the Chongqing City, China
Precipitation is a major component of the water cycle. Accurate and reliable estimation of precipitation is essential for various applications. Generally, there are three main types of precipitation products: satellite based, reanalysis, and ground measurements from rain gauge stations. Each type has its advantages and disadvantages. Recent efforts have been made to develop various merging methods
Spectral quality differentially affects apparent metabolite concentrations as estimated by linear combination modeling of in vivo magnetic resonance spectroscopy data at 7 Tesla
Diagnosis of multiple sclerosis subtype through machine learning analysis of frontal cortex metabolite profiles
The onset and progression of multiple sclerosis (MS) is accompanied by changes in brain biochemistry. Magnetic resonance spectroscopy (MRS) is a powerful tool for investigating these changes in vivo. Machine learning analysis of MRS-derived biochemical profiles may reveal metabolic patterns inherent in certain MS subtypes to inform their diagnosis. By employing a feature set of only metabolite con
Magnetic Resonance Spectrum Simulator (MARSS): Software for fast and reliable simulation of spin systems
Accurate density matrix simulation of nuclear spin systems is critical for quantifying magnetic resonance spectroscopy (MRS) data, as well as for simulation studies designed to optimize acquisition parameters. Although a variety of packages exist to achieve this result, no currently available software is capable of computing a large number of spatial points in a reasonable time frame. Here we pres
Hunting the perfect spline: Baseline handling for accurate macromolecule estimation and metabolite quantification by in vivo 1H MRS
Towards in vivo neurochemical profiling of multiple sclerosis with MR spectroscopy at 7 Tesla: Apparent increase in frontal cortex water T2 in aged individuals with progressive multiple sclerosis stabilizes in biexponential model constrained by tissue partial volumes
Water is a common internal reference for metabolite quantification by 1H-MRS. We investigate potential influences on water-referenced metabolite quantification by differences in frontal cortex water T2 in individuals with relapsing-remitting, progressive, and no multiple sclerosis. Water T2 differed in monoexponential models, exhibiting highest values in progressive multiple sclerosis only when an
Remembering Ross Leadbetter: some personal reflections
Ross Leadbetter had had a broad and deep influence on the development of proba-bilistic and statistical theory of extreme values and on the application of extreme-value methods. He has been an inspiration and a friend for many of us. This edito-rial collects thirteen personal recollections of Ross and his work. An account of hiscareer and some of his work can be found in the IMS Obituary “Ross Lea
Towards in vivo neurochemical profiling of multiple sclerosis with MR spectroscopy at 7 Tesla: Cross-sectional assessment of frontal-cortex glutathione, GABA, and glutamate in individuals with relapsing-remitting and progressive multiple sclerosis
Multiple sclerosis (MS) is an autoimmune disease that damages the central nervous system and affects an estimated 2.3 million people worldwide. One potential key to understanding MS is investigating the metabolic distinctions between its relapsing-remitting (RR-MS) and progressive courses (P-MS). We obtained single-voxel metabolic 1H spectra at 7 Tesla from the frontal cortex of RR-MS and P-MS pat
7. In vivo quantification of glutathione T2 in the human brain at 7 Tesla using echo time extension with variable refocusing selectivity and symmetry
The tripeptide glutathione (L-γ-glutamyl-L-cysteinyl glycine or GSH) is an endogenous antioxidant implicated in many neurological conditions, including multiple sclerosis. Its precise quantification by proton magnetic resonance spectroscopy is, however, hampered by its uncertain T2. Here, we present a method for the quantification of GSH T2 in the human brain at 7 Tesla using optimized echo time e
A systematic discrepancy between the short circuit current and the integrated quantum efficiency in perovskite solar cells
Halide perovskites solar cells are now approaching commercialisation. In this transition from academic research towards industrialisation, standardized testing protocols and reliable dissemination of performance metrics are crucial. In this study, we analyze data from over 16,000 publications in the Perovskite Database to investigate the assumed equality between the integrated external quantum eff
Stilskolan skulle få unga att klä sig rätt
Apotekslagstiftning i Danmark och Sverige
En översikt över regleringen av apoteksväsendet i Danmark fram till 1600-talet och i Sverige fram till idag.