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calf – Software for CEST Analysis with Lorentzian Fitting

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 Lor...

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Detalles Bibliográficos
Autores principales: Wittsack, Hans-Jörg, Radke, Karl Ludger, Stabinska, Julia, Ljimani, Alexandra, Müller-Lutz, Anja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10038975/
https://www.ncbi.nlm.nih.gov/pubmed/36961580
http://dx.doi.org/10.1007/s10916-023-01931-6
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author Wittsack, Hans-Jörg
Radke, Karl Ludger
Stabinska, Julia
Ljimani, Alexandra
Müller-Lutz, Anja
author_facet Wittsack, Hans-Jörg
Radke, Karl Ludger
Stabinska, Julia
Ljimani, Alexandra
Müller-Lutz, Anja
author_sort Wittsack, Hans-Jörg
collection PubMed
description 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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spelling pubmed-100389752023-03-26 calf – Software for CEST Analysis with Lorentzian Fitting Wittsack, Hans-Jörg Radke, Karl Ludger Stabinska, Julia Ljimani, Alexandra Müller-Lutz, Anja J Med Syst Original Paper 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. Springer US 2023-03-24 2023 /pmc/articles/PMC10038975/ /pubmed/36961580 http://dx.doi.org/10.1007/s10916-023-01931-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Paper
Wittsack, Hans-Jörg
Radke, Karl Ludger
Stabinska, Julia
Ljimani, Alexandra
Müller-Lutz, Anja
calf – Software for CEST Analysis with Lorentzian Fitting
title calf – Software for CEST Analysis with Lorentzian Fitting
title_full calf – Software for CEST Analysis with Lorentzian Fitting
title_fullStr calf – Software for CEST Analysis with Lorentzian Fitting
title_full_unstemmed calf – Software for CEST Analysis with Lorentzian Fitting
title_short calf – Software for CEST Analysis with Lorentzian Fitting
title_sort calf – software for cest analysis with lorentzian fitting
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10038975/
https://www.ncbi.nlm.nih.gov/pubmed/36961580
http://dx.doi.org/10.1007/s10916-023-01931-6
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