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Toward more robust and reproducible diffusion kurtosis imaging

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Toward more robust and reproducible diffusion kurtosis imaging. / Henriques, Rafael N.; Jespersen, Sune N.; Jones, Derek K.; Veraart, Jelle.

In: Magnetic Resonance in Medicine, Vol. 86, No. 3, 09.2021, p. 1600-1613.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperJournal articleResearchpeer-review

Harvard

Henriques, RN, Jespersen, SN, Jones, DK & Veraart, J 2021, 'Toward more robust and reproducible diffusion kurtosis imaging', Magnetic Resonance in Medicine, vol. 86, no. 3, pp. 1600-1613. https://doi.org/10.1002/mrm.28730

APA

Henriques, R. N., Jespersen, S. N., Jones, D. K., & Veraart, J. (2021). Toward more robust and reproducible diffusion kurtosis imaging. Magnetic Resonance in Medicine, 86(3), 1600-1613. https://doi.org/10.1002/mrm.28730

CBE

Henriques RN, Jespersen SN, Jones DK, Veraart J. 2021. Toward more robust and reproducible diffusion kurtosis imaging. Magnetic Resonance in Medicine. 86(3):1600-1613. https://doi.org/10.1002/mrm.28730

MLA

Henriques, Rafael N. et al. "Toward more robust and reproducible diffusion kurtosis imaging". Magnetic Resonance in Medicine. 2021, 86(3). 1600-1613. https://doi.org/10.1002/mrm.28730

Vancouver

Henriques RN, Jespersen SN, Jones DK, Veraart J. Toward more robust and reproducible diffusion kurtosis imaging. Magnetic Resonance in Medicine. 2021 Sep;86(3):1600-1613. https://doi.org/10.1002/mrm.28730

Author

Henriques, Rafael N. ; Jespersen, Sune N. ; Jones, Derek K. ; Veraart, Jelle. / Toward more robust and reproducible diffusion kurtosis imaging. In: Magnetic Resonance in Medicine. 2021 ; Vol. 86, No. 3. pp. 1600-1613.

Bibtex

@article{43da927916cd49beab2038d0585c0d85,
title = "Toward more robust and reproducible diffusion kurtosis imaging",
abstract = "Abstract Purpose The general utility of diffusion kurtosis imaging (DKI) is challenged by its poor robustness to imaging artifacts and thermal noise that often lead to implausible kurtosis values. Theory and Methods A robust scalar kurtosis index can be estimated from powder-averaged diffusion-weighted data. We introduce a novel DKI estimator that uses this scalar kurtosis index as a proxy for the mean kurtosis to regularize the fit. Results The regularized DKI estimator improves the robustness and reproducibility of the kurtosis metrics and results in parameter maps with enhanced quality and contrast. Conclusion Our novel DKI estimator promotes the wider use of DKI in clinical research and potentially diagnostics by improving the reproducibility and precision of DKI fitting and, as such, enabling enhanced visual, quantitative, and statistical analyses of DKI parameters.",
keywords = "diffusion MRI, DKI, kurtosis, parameter estimation, robustness",
author = "Henriques, {Rafael N.} and Jespersen, {Sune N.} and Jones, {Derek K.} and Jelle Veraart",
note = "https://doi.org/10.1002/mrm.28730",
year = "2021",
month = sep,
doi = "10.1002/mrm.28730",
language = "English",
volume = "86",
pages = "1600--1613",
journal = "Magnetic Resonance in Medicine",
issn = "0740-3194",
publisher = "JohnWiley & Sons, Inc.",
number = "3",

}

RIS

TY - JOUR

T1 - Toward more robust and reproducible diffusion kurtosis imaging

AU - Henriques, Rafael N.

AU - Jespersen, Sune N.

AU - Jones, Derek K.

AU - Veraart, Jelle

N1 - https://doi.org/10.1002/mrm.28730

PY - 2021/9

Y1 - 2021/9

N2 - Abstract Purpose The general utility of diffusion kurtosis imaging (DKI) is challenged by its poor robustness to imaging artifacts and thermal noise that often lead to implausible kurtosis values. Theory and Methods A robust scalar kurtosis index can be estimated from powder-averaged diffusion-weighted data. We introduce a novel DKI estimator that uses this scalar kurtosis index as a proxy for the mean kurtosis to regularize the fit. Results The regularized DKI estimator improves the robustness and reproducibility of the kurtosis metrics and results in parameter maps with enhanced quality and contrast. Conclusion Our novel DKI estimator promotes the wider use of DKI in clinical research and potentially diagnostics by improving the reproducibility and precision of DKI fitting and, as such, enabling enhanced visual, quantitative, and statistical analyses of DKI parameters.

AB - Abstract Purpose The general utility of diffusion kurtosis imaging (DKI) is challenged by its poor robustness to imaging artifacts and thermal noise that often lead to implausible kurtosis values. Theory and Methods A robust scalar kurtosis index can be estimated from powder-averaged diffusion-weighted data. We introduce a novel DKI estimator that uses this scalar kurtosis index as a proxy for the mean kurtosis to regularize the fit. Results The regularized DKI estimator improves the robustness and reproducibility of the kurtosis metrics and results in parameter maps with enhanced quality and contrast. Conclusion Our novel DKI estimator promotes the wider use of DKI in clinical research and potentially diagnostics by improving the reproducibility and precision of DKI fitting and, as such, enabling enhanced visual, quantitative, and statistical analyses of DKI parameters.

KW - diffusion MRI

KW - DKI

KW - kurtosis

KW - parameter estimation

KW - robustness

U2 - 10.1002/mrm.28730

DO - 10.1002/mrm.28730

M3 - Journal article

C2 - 33829542

VL - 86

SP - 1600

EP - 1613

JO - Magnetic Resonance in Medicine

JF - Magnetic Resonance in Medicine

SN - 0740-3194

IS - 3

ER -