Exploring the potential of PCA-based quantitation of NMR signals in T-1 relaxometry
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F21%3A10439416" target="_blank" >RIV/00216208:11320/21:10439416 - isvavai.cz</a>
Result on the web
<a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=fSh~plcq_a" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=fSh~plcq_a</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jmr.2021.106965" target="_blank" >10.1016/j.jmr.2021.106965</a>
Alternative languages
Result language
angličtina
Original language name
Exploring the potential of PCA-based quantitation of NMR signals in T-1 relaxometry
Original language description
Principal component analysis (PCA) has proved to be a powerful technique for processing NMR data. It is particularly useful in signal quantitation where it often provides better results compared to a direct integration of individual signals. In the present work, we recapitulate the principles and theoretical framework underlying PCA-based quantitation with a special focus on T-1 relaxometry. We show that under commonly encountered conditions, this approach can provide up to similar to 4-fold improvement in scatter of points in magnetization build-up curves compared to direct integration. Best practices to optimize the PCA performance in measuring the total magnetization are discussed, including minimization of the number of signal-related principal components and a proper selection of FT parameters and data quantitation intervals. For signals consisting of distinct relaxation components, formulas are provided for resolving the components relaxation and illustrated on a real-data example. In addition to the problem of quantitation, the use of PCA in denoising of partially relaxed spectra is discussed in connection with such applications as line shape analysis and monitoring relaxation of individual spectral components. (C) 2021 Elsevier Inc. All rights reserved.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10301 - Atomic, molecular and chemical physics (physics of atoms and molecules including collision, interaction with radiation, magnetic resonances, Mössbauer effect)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Magnetic Resonance
ISSN
1090-7807
e-ISSN
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Volume of the periodical
326
Issue of the periodical within the volume
18 March 2021
Country of publishing house
US - UNITED STATES
Number of pages
10
Pages from-to
106965
UT code for WoS article
000644070400005
EID of the result in the Scopus database
2-s2.0-85103114000