An automated quantitation of short echo time MRS spectra in an open source software environment: AQSES.
about
A multidisciplinary approach unravels early and persistent effects of X-ray exposure at the onset of prenatal neurogenesisAdvanced processing and simulation of MRS data using the FID appliance (FID-A)-An open source, MATLAB-based toolkit.Metabolomics of neural progenitor cells: a novel approach to biomarker discovery.High dynamic-range magnetic resonance spectroscopy (MRS) time-domain signal analysis.Smoothness of in vivo spectral baseline determined by mean-square error.Semi-parametric time-domain quantification of HR-MAS data from prostate tissueA constrained least-squares approach to the automated quantitation of in vivo ¹H magnetic resonance spectroscopy data.Quantitation of normal metabolite concentrations in six brain regions by in-vivoH-MR spectroscopy.A comparison of two post-processing analysis methods to quantify cerebral metabolites measured via proton magnetic resonance spectroscopy in HIV diseaseResponse to Comments on "Magnetic Resonance Spectroscopy Identifies Neural Progenitor Cells in the Live Human Brain".Processing tracking in jMRUI software for magnetic resonance spectra quantitation reproducibility assuranceIn vivo functional neurochemistry of human cortical cholinergic function during visuospatial attention.Mapping of prostate cancer by 1H MRSI.Quantification in magnetic resonance spectroscopy based on semi-parametric approaches.Machine Learning Approach for Classifying Multiple Sclerosis Courses by Combining Clinical Data with Lesion Loads and Magnetic Resonance Metabolic Features.Spectral Quantification for High-Resolution MR Spectroscopic Imaging With Spatiospectral Constraints.Spatio-spectral regularization to improve magnetic resonance spectroscopic imaging quantification.Constrained Source Space MR Spectroscopy: Multiple Voxels, No Gradient Readout.Improved initial value estimation for short echo time magnetic resonance spectroscopy spectral analysis using short T2 signal attenuation.Exploiting spatial information to estimate metabolite levels in two-dimensional MRSI of heterogeneous brain lesions.Extracting MRS discriminant functional features of brain tumors.ProFit revisited.Temperature dependence of 1H NMR chemical shifts and its influence on estimated metabolite concentrations.Parameterization of spectral baseline directly from short echo time full spectra in 1 H-MRS.Using spatial prior knowledge in the spectral fitting of MRS images.A hybrid method of application of independent component analysis to in vivo 1H MR spectra of childhood brain tumours.Tract-based magnetic resonance spectroscopy of the cingulum bundles at 7 T.Different quantification algorithms may lead to different results: a comparison using proton MRS lipid signals.Towards automatic metabolomic profiling of high-resolution one-dimensional proton NMR spectra.
P2860
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P2860
An automated quantitation of short echo time MRS spectra in an open source software environment: AQSES.
description
2007 nî lūn-bûn
@nan
2007 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
name
An automated quantitation of s ...... e software environment: AQSES.
@ast
An automated quantitation of s ...... e software environment: AQSES.
@en
type
label
An automated quantitation of s ...... e software environment: AQSES.
@ast
An automated quantitation of s ...... e software environment: AQSES.
@en
prefLabel
An automated quantitation of s ...... e software environment: AQSES.
@ast
An automated quantitation of s ...... e software environment: AQSES.
@en
P2093
P356
P1433
P1476
An automated quantitation of s ...... e software environment: AQSES.
@en
P2093
Arjan W Simonetti
Bart De Neuter
Diana M Sima
Jean-Baptiste Poullet
Leentje Vanhamme
Philippe Lemmerling
P304
P356
10.1002/NBM.1112
P577
2007-08-01T00:00:00Z