Literature DB >> 7850173

Spectral lineshape determination by self-deconvolution.

A A Maudsley1.   

Abstract

A data-processing method is described for the determination of spectral lineshapes using deconvolution of the data with an initial estimate of the same spectrum, referred to as self-deconvolution. The method is demonstrated using computer-simulation studies and experimental data, and is shown to accurately determine amplitude and phase lineshape distortions which may be caused by field inhomogeneity and gradient eddy-current effects. The results indicate that the method is robust in the presence of noise and errors in the initial spectral estimate. Once the spectral lineshape is determined it can be incorporated into a parametric spectral-analysis procedure, thereby reducing the number of parameters to be determined and improving the accuracy of the fit. A proposed application of the method is for spatially resolved in vivo NMR studies where local susceptibility effects and gradient eddy-current effects cause significant deviation of the spectral lineshape from a Lorentzian lineshape.

Mesh:

Substances:

Year:  1995        PMID: 7850173     DOI: 10.1006/jmrb.1995.1007

Source DB:  PubMed          Journal:  J Magn Reson B        ISSN: 1064-1866


  9 in total

1.  13C MRS of occipital and frontal lobes at 3 T using a volume coil for stochastic proton decoupling.

Authors:  Shizhe Li; Yan Zhang; Shumin Wang; Maria Ferraris Araneta; Christopher S Johnson; Yun Xiang; Robert B Innis; Jun Shen
Journal:  NMR Biomed       Date:  2010-10       Impact factor: 4.044

2.  Soft constraints in nonlinear spectral fitting with regularized lineshape deconvolution.

Authors:  Yan Zhang; Jun Shen
Journal:  Magn Reson Med       Date:  2012-05-22       Impact factor: 4.668

Review 3.  Quantification in magnetic resonance spectroscopy based on semi-parametric approaches.

Authors:  Danielle Graveron-Demilly
Journal:  MAGMA       Date:  2013-07-28       Impact factor: 2.310

4.  Fitting interrelated datasets: metabolite diffusion and general lineshapes.

Authors:  Victor Adalid; André Döring; Sreenath Pruthviraj Kyathanahally; Christine Sandra Bolliger; Chris Boesch; Roland Kreis
Journal:  MAGMA       Date:  2017-04-05       Impact factor: 2.310

5.  Role of very high order and degree B0 shimming for spectroscopic imaging of the human brain at 7 tesla.

Authors:  Jullie W Pan; Kai-Ming Lo; Hoby P Hetherington
Journal:  Magn Reson Med       Date:  2011-12-28       Impact factor: 4.668

6.  Peak-specific phase correction for automated spectrum processing of in vivo magnetic resonance spectroscopic imaging by using the multiscale approach.

Authors:  Xiaodong Zhang; Xiaoping Hu
Journal:  Bo Pu Xue Za Zhi       Date:  2014-03-05

7.  Estimating Intermittent Individual Spawning Behavior via Disaggregating Group Data.

Authors:  Joel Nishimura; Rebecca Smith; Kathleen Jensen; Gerald Ankley; Karen Watanabe
Journal:  Bull Math Biol       Date:  2017-12-11       Impact factor: 1.758

8.  Fast computation of full density matrix of multispin systems for spatially localized in vivo magnetic resonance spectroscopy.

Authors:  Yan Zhang; Li An; Jun Shen
Journal:  Med Phys       Date:  2017-07-10       Impact factor: 4.071

9.  Terminology and concepts for the characterization of in vivo MR spectroscopy methods and MR spectra: Background and experts' consensus recommendations.

Authors:  Roland Kreis; Vincent Boer; In-Young Choi; Cristina Cudalbu; Robin A de Graaf; Charles Gasparovic; Arend Heerschap; Martin Krššák; Bernard Lanz; Andrew A Maudsley; Martin Meyerspeer; Jamie Near; Gülin Öz; Stefan Posse; Johannes Slotboom; Melissa Terpstra; Ivan Tkáč; Martin Wilson; Wolfgang Bogner
Journal:  NMR Biomed       Date:  2020-08-17       Impact factor: 4.044

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.