Markers of low field NMR relaxation features of tissues

Karol Kołodziejski, Elzbieta Masiewicz, Amnah Saad S Alamri, Vasileios Zampetoulas, Leslie Samuel, Graeme Murray, David Lurie, Lionel Broche* (Corresponding Author), Danuta Kruk

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Downloads (Pure)

Abstract

This work presents an approach to exploiting Nuclear Magnetic Resonance (NMR) relaxometry data (1H spin-lattice relaxation rates covering the frequency range from below 1 kHz to 10 MHz) for the purpose of differentiating between pathological and reference tissues. Characteristic quantities (markers) that can be obtained in a straightforward manner, not resorting to an advanced analysis of 1H spin-lattice relaxation data, have been identified and compared for pathological and reference colon tissues. Moreover, the relaxation data have been parametrised in terms of Lorentzian spectral densities and the possibility of using the obtained dipolar relaxation constants and correlation times as biomarkers to assess the state of tissues has been discussed. It has also been demonstrated that the relaxation data for the reference and the pathological tissues can be attributed to two groups (for each case). The studies are a step towards exploiting the potential of NMR relaxometry for characterisation of pathological changes in tissues.
Original languageEnglish
Article number24901
Number of pages12
JournalScientific Reports
Volume14
Issue number1
Early online date22 Oct 2024
DOIs
Publication statusPublished - 22 Oct 2024

Funding

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 668119 (project “IDentIFY”).This work received support from the EURELAX COST Action CA15209, supported by COST (European Cooperation in Science and Technology).

FundersFunder number
European Commission668119

    Keywords

    • Biological physics
    • Biomarkers
    • Biophysics
    • Tumour biomarkers

    Fingerprint

    Dive into the research topics of 'Markers of low field NMR relaxation features of tissues'. Together they form a unique fingerprint.

    Cite this