Improved \(T_{2}^{*}\) determination in 23Na, 35Cl, and 17O MRI using iterative partial volume correction based on 1H MRI segmentation

  • Sebastian C. Niesporek
  • Reiner Umathum
  • Thomas M. Fiedler
  • Peter Bachert
  • Mark E. Ladd
  • Armin M. Nagel
Research Article

Abstract

Objective

Functional parameters can be measured with the help of quantitative non-proton MRI where exact relaxometry parameters are needed. Investigation of \(T_{2}^{*}\) is often biased by strong partial volume (PV) effects. Hence, in this work a PV correction algorithm approach was evaluated that uses iteratively adapted \(T_{2}^{*}\)-values and high-resolution structural 1H data to determine transverse relaxation in non-proton MRI more accurately.

Materials and methods

Simulations, a phantom study and in vivo 23Na, 17O and 35Cl MRI measurements of five healthy volunteers were performed to evaluate the algorithm. \(T_{2}^{*}\) values of grey matter (GM), white matter (WM) and cerebrospinal fluid (CSF) were obtained. Data were acquired at B 0  = 7T with nominal spatial resolutions of (4–7 mm)3 using a density-adapted radial sequence. The resulting transverse relaxation times were used for quantification of 17O data.

Results

The conducted simulations and phantom study verified the correction performance of the algorithm. For in vivo measured \(T_{2}^{*}\) values, the correction of PV effects leads to an increase in CSF and to a decrease in GM/WM (23Na MRI: long/short GM, WM \(T_{2}^{*}\): 36.4 ± 3.1/5.4 ± 0.2, 23.3 ± 2.6/3.5 ± 0.1 ms; 35Cl MRI: 8.9 ± 1.4/1.0 ± 0.4, 5.9 ± 0.3/0.4 ± 0.1 ms; 17O MRI: 2.5 ± 0.1, 2.8 ± 0.1 ms). Iteratively corrected in vivo \(T_{2}^{*}\) values of the 17O study resulted in improved water content quantification.

Conclusion

The proposed iterative algorithm for PV correction leads to more accurate \(T_{2}^{*}\) values and, thus, can improve accuracy in quantitative non-proton MRI.

Keywords

Non-proton MRI Iterative partial volume correction Ultra-high field MRI Non-proton \(T_{2}^{*}\) 

Notes

Acknowledgements

This work was funded in part by the National German Research Foundation (DFG; Grant number: NA736/2-1).

Authors’ contribution

Niesporek, Sebastian C.: data collection, data analysis, protocol/project development. Umathum, Reiner: data analysis. Fiedler, Thomas M.: data analysis. Bachert, Peter: data analysis. Ladd, Mark E.: data analysis. Nagel, Armin M.: data analysis, protocol/project development.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Supplementary material

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Supplementary material 1 (TIFF 2345 kb)
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Supplementary material 2 (TIFF 4866 kb)
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Supplementary material 3 (TIFF 1192 kb)
10334_2017_623_MOESM4_ESM.docx (28 kb)
Supplementary material 4 (DOCX 28 kb)

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Copyright information

© ESMRMB 2017

Authors and Affiliations

  • Sebastian C. Niesporek
    • 1
  • Reiner Umathum
    • 1
  • Thomas M. Fiedler
    • 1
  • Peter Bachert
    • 1
  • Mark E. Ladd
    • 1
  • Armin M. Nagel
    • 1
    • 2
  1. 1.Division of Medical Physics in RadiologyGerman Cancer Research Center (DKFZ)HeidelbergGermany
  2. 2.Institute of RadiologyUniversity Hospital ErlangenErlangenGermany

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