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Improvement of Reliability of Diffusion Tensor Metrics in Thigh Skeletal Muscles

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Improvement of Reliability of Diffusion Tensor Metrics in Thigh Skeletal Muscles. / Keller, Sarah; Chhabra, Avneesh; Ahmed, Shaheen; Kim, Anne C; Chia, Jonathan M; Yamamura, Jin; Wang, Zhiyue J.

in: EUR J RADIOL, Jahrgang 102, 05.2018, S. 55-60.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Keller, S, Chhabra, A, Ahmed, S, Kim, AC, Chia, JM, Yamamura, J & Wang, ZJ 2018, 'Improvement of Reliability of Diffusion Tensor Metrics in Thigh Skeletal Muscles', EUR J RADIOL, Jg. 102, S. 55-60. https://doi.org/10.1016/j.ejrad.2018.02.034

APA

Keller, S., Chhabra, A., Ahmed, S., Kim, A. C., Chia, J. M., Yamamura, J., & Wang, Z. J. (2018). Improvement of Reliability of Diffusion Tensor Metrics in Thigh Skeletal Muscles. EUR J RADIOL, 102, 55-60. https://doi.org/10.1016/j.ejrad.2018.02.034

Vancouver

Keller S, Chhabra A, Ahmed S, Kim AC, Chia JM, Yamamura J et al. Improvement of Reliability of Diffusion Tensor Metrics in Thigh Skeletal Muscles. EUR J RADIOL. 2018 Mai;102:55-60. https://doi.org/10.1016/j.ejrad.2018.02.034

Bibtex

@article{c46330ed915741e098c36a599891bdac,
title = "Improvement of Reliability of Diffusion Tensor Metrics in Thigh Skeletal Muscles",
abstract = "OBJECTIVE: Quantitative diffusion tensor imaging (DTI) of skeletal muscles is challenging due to the bias in DTI metrics, such as fractional anisotropy (FA) and mean diffusivity (MD), related to insufficient signal-to-noise ratio (SNR). This study compares the bias of DTI metrics in skeletal muscles via pixel-based and region-of-interest (ROI)-based analysis.METHODS: DTI of the thigh muscles was conducted on a 3.0-T system in N = 11 volunteers using a fat-suppressed single-shot spin-echo echo planar imaging (SS SE-EPI) sequence with eight repetitions (number of signal averages (NSA) = 4 or 8 for each repeat). The SNR was calculated for different NSAs and estimated for the composite images combining all data (effective NSA = 48) as standard reference. The bias of MD and FA derived by pixel-based and ROI-based quantification were compared at different NSAs. An {"}intra-ROI diffusion direction dispersion angle (IRDDDA){"} was calculated to assess the uniformity of diffusion within the ROI.RESULTS: Using our standard reference image with NSA = 48, the ROI-based and pixel-based measurements agreed for FA and MD. Larger disagreements were observed for the pixel-based quantification at NSA = 4. MD was less sensitive than FA to the noise level. The IRDDDA decreased with higher NSA. At NSA = 4, ROI-based FA showed a lower average bias (0.9% vs. 37.4%) and narrower 95% limits of agreement compared to the pixel-based method.CONCLUSION: The ROI-based estimation of FA is less prone to bias than the pixel-based estimations when SNR is low. The IRDDDA can be applied as a quantitative quality measure to assess reliability of ROI-based DTI metrics.",
keywords = "Adult, Anisotropy, Diffusion Tensor Imaging, Echo-Planar Imaging, Female, Humans, Male, Muscle, Skeletal, Prospective Studies, Reproducibility of Results, Signal-To-Noise Ratio, Thigh, Journal Article",
author = "Sarah Keller and Avneesh Chhabra and Shaheen Ahmed and Kim, {Anne C} and Chia, {Jonathan M} and Jin Yamamura and Wang, {Zhiyue J}",
note = "Copyright {\textcopyright} 2018 Elsevier B.V. All rights reserved.",
year = "2018",
month = may,
doi = "10.1016/j.ejrad.2018.02.034",
language = "English",
volume = "102",
pages = "55--60",
journal = "EUR J RADIOL",
issn = "0720-048X",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Improvement of Reliability of Diffusion Tensor Metrics in Thigh Skeletal Muscles

AU - Keller, Sarah

AU - Chhabra, Avneesh

AU - Ahmed, Shaheen

AU - Kim, Anne C

AU - Chia, Jonathan M

AU - Yamamura, Jin

AU - Wang, Zhiyue J

N1 - Copyright © 2018 Elsevier B.V. All rights reserved.

PY - 2018/5

Y1 - 2018/5

N2 - OBJECTIVE: Quantitative diffusion tensor imaging (DTI) of skeletal muscles is challenging due to the bias in DTI metrics, such as fractional anisotropy (FA) and mean diffusivity (MD), related to insufficient signal-to-noise ratio (SNR). This study compares the bias of DTI metrics in skeletal muscles via pixel-based and region-of-interest (ROI)-based analysis.METHODS: DTI of the thigh muscles was conducted on a 3.0-T system in N = 11 volunteers using a fat-suppressed single-shot spin-echo echo planar imaging (SS SE-EPI) sequence with eight repetitions (number of signal averages (NSA) = 4 or 8 for each repeat). The SNR was calculated for different NSAs and estimated for the composite images combining all data (effective NSA = 48) as standard reference. The bias of MD and FA derived by pixel-based and ROI-based quantification were compared at different NSAs. An "intra-ROI diffusion direction dispersion angle (IRDDDA)" was calculated to assess the uniformity of diffusion within the ROI.RESULTS: Using our standard reference image with NSA = 48, the ROI-based and pixel-based measurements agreed for FA and MD. Larger disagreements were observed for the pixel-based quantification at NSA = 4. MD was less sensitive than FA to the noise level. The IRDDDA decreased with higher NSA. At NSA = 4, ROI-based FA showed a lower average bias (0.9% vs. 37.4%) and narrower 95% limits of agreement compared to the pixel-based method.CONCLUSION: The ROI-based estimation of FA is less prone to bias than the pixel-based estimations when SNR is low. The IRDDDA can be applied as a quantitative quality measure to assess reliability of ROI-based DTI metrics.

AB - OBJECTIVE: Quantitative diffusion tensor imaging (DTI) of skeletal muscles is challenging due to the bias in DTI metrics, such as fractional anisotropy (FA) and mean diffusivity (MD), related to insufficient signal-to-noise ratio (SNR). This study compares the bias of DTI metrics in skeletal muscles via pixel-based and region-of-interest (ROI)-based analysis.METHODS: DTI of the thigh muscles was conducted on a 3.0-T system in N = 11 volunteers using a fat-suppressed single-shot spin-echo echo planar imaging (SS SE-EPI) sequence with eight repetitions (number of signal averages (NSA) = 4 or 8 for each repeat). The SNR was calculated for different NSAs and estimated for the composite images combining all data (effective NSA = 48) as standard reference. The bias of MD and FA derived by pixel-based and ROI-based quantification were compared at different NSAs. An "intra-ROI diffusion direction dispersion angle (IRDDDA)" was calculated to assess the uniformity of diffusion within the ROI.RESULTS: Using our standard reference image with NSA = 48, the ROI-based and pixel-based measurements agreed for FA and MD. Larger disagreements were observed for the pixel-based quantification at NSA = 4. MD was less sensitive than FA to the noise level. The IRDDDA decreased with higher NSA. At NSA = 4, ROI-based FA showed a lower average bias (0.9% vs. 37.4%) and narrower 95% limits of agreement compared to the pixel-based method.CONCLUSION: The ROI-based estimation of FA is less prone to bias than the pixel-based estimations when SNR is low. The IRDDDA can be applied as a quantitative quality measure to assess reliability of ROI-based DTI metrics.

KW - Adult

KW - Anisotropy

KW - Diffusion Tensor Imaging

KW - Echo-Planar Imaging

KW - Female

KW - Humans

KW - Male

KW - Muscle, Skeletal

KW - Prospective Studies

KW - Reproducibility of Results

KW - Signal-To-Noise Ratio

KW - Thigh

KW - Journal Article

U2 - 10.1016/j.ejrad.2018.02.034

DO - 10.1016/j.ejrad.2018.02.034

M3 - SCORING: Journal article

C2 - 29685545

VL - 102

SP - 55

EP - 60

JO - EUR J RADIOL

JF - EUR J RADIOL

SN - 0720-048X

ER -