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calf - Software for CEST Analysis with Lorentzian Fitting.
Wittsack, Hans-Jörg; Radke, Karl Ludger; Stabinska, Julia; Ljimani, Alexandra; Müller-Lutz, Anja.
Afiliação
  • Wittsack HJ; Medical Faculty, Department of Diagnostic and Interventional Radiology, University Dusseldorf, D-40225, Dusseldorf, Germany. Hans-Joerg.Wittsack@med.uni-duesseldorf.de.
  • Radke KL; Medical Faculty, Department of Diagnostic and Interventional Radiology, University Dusseldorf, D-40225, Dusseldorf, Germany.
  • Stabinska J; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, 21205, USA.
  • Ljimani A; Division of MR Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
  • Müller-Lutz A; Medical Faculty, Department of Diagnostic and Interventional Radiology, University Dusseldorf, D-40225, Dusseldorf, Germany.
J Med Syst ; 47(1): 39, 2023 Mar 24.
Article em En | MEDLINE | ID: mdl-36961580
Analysis of chemical exchange saturation transfer (CEST) MRI data requires sophisticated methods to obtain reliable results about metabolites in the tissue under study. CEST generates z-spectra with multiple components, each originating from individual molecular groups. The individual lines with Lorentzian line shape are mostly overlapping and disturbed by various effects. We present an elaborate method based on an adaptive nonlinear least squares algorithm that provides robust quantification of z-spectra and incorporates prior knowledge in the fitting process. To disseminate CEST to the research community, we developed software as part of this study that runs on the Microsoft Windows operating system and will be made freely available to the community. Special attention has been paid to establish a low entrance threshold and high usability, so that even less experienced users can successfully analyze CEST data.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Imageamento por Ressonância Magnética Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Imageamento por Ressonância Magnética Idioma: En Ano de publicação: 2023 Tipo de documento: Article