Inherent and unpredictable bias in multi-component DESPOT myelin water fraction estimation.

Daniel West; Rui Pedro Azeredo Gomes Teixeira; Tobias Wood; Joseph Vilmos Hajnal; Jacques-Donald Tournier; Shaihan Jalal Malik

doi:10.1016/j.neuroimage.2019.03.049

Inherent and unpredictable bias in multi-component DESPOT myelin water fraction estimation.

Daniel West, Rui Pedro Azeredo Gomes Teixeira, Tobias Wood, Joseph Vilmos Hajnal, Jacques-Donald Tournier, Shaihan Jalal Malik

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Abstract

Multicomponent driven equilibrium steady-state observation of T1 and T2 (mcDESPOT) aims to quantify the Myelin Water Fraction (MWF) using a two-pool microstructural model. The MWF has been used to track neurodevelopment and neurodegeneration and has been histologically correlated to myelin content. mcDESPOT has a clinically feasible acquisition time and high signal-to-noise ratio (SNR) relative to other MWF techniques. However, disagreement exists in the literature between experimental studies that show MWF maps with plausible grey matter-white matter (GM-WM) contrast and theoretical work that questions the accuracy and precision of mcDESPOT. We demonstrate that mcDESPOT parameter estimation is inaccurate and imprecise if intercompartmental exchange is included in the microstructural model, but that significant bias results if exchange is neglected. The source of apparent MWF contrast is likely due to the complex convergence behaviour of the Stochastic Region Contraction (SRC) method commonly used to fit the mcDESPOT model. mcDESPOT-derived parameter estimates are hence not directly relatable to the underlying microstructural model and are only comparable to others using similar acquisition schemes and fitting constraints.

Original language	English
Pages (from-to)	78-88
Number of pages	11
Journal	NeuroImage
Volume	195
Early online date	28 Mar 2019
DOIs	https://doi.org/10.1016/j.neuroimage.2019.03.049
Publication status	Published - Jul 2019

Keywords

Intercompartmental exchange
mcDESPOT
Myelin water fraction
Quantitative MRI
Stochastic region contraction
White matter-grey matter contrast

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10.1016/j.neuroimage.2019.03.049Licence: CC BY

Inherent and unpredictable bias_WEST_Accepted21March2019_GREEN AAM (CC BY-NC-ND)Accepted author manuscript, 2.54 MBLicence: CC BY-NC-ND

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@article{7b9c7374f05b419fa32fbc1e23ee7d3b,

title = "Inherent and unpredictable bias in multi-component DESPOT myelin water fraction estimation.",

abstract = "Multicomponent driven equilibrium steady-state observation of T1 and T2 (mcDESPOT) aims to quantify the Myelin Water Fraction (MWF) using a two-pool microstructural model. The MWF has been used to track neurodevelopment and neurodegeneration and has been histologically correlated to myelin content. mcDESPOT has a clinically feasible acquisition time and high signal-to-noise ratio (SNR) relative to other MWF techniques. However, disagreement exists in the literature between experimental studies that show MWF maps with plausible grey matter-white matter (GM-WM) contrast and theoretical work that questions the accuracy and precision of mcDESPOT. We demonstrate that mcDESPOT parameter estimation is inaccurate and imprecise if intercompartmental exchange is included in the microstructural model, but that significant bias results if exchange is neglected. The source of apparent MWF contrast is likely due to the complex convergence behaviour of the Stochastic Region Contraction (SRC) method commonly used to fit the mcDESPOT model. mcDESPOT-derived parameter estimates are hence not directly relatable to the underlying microstructural model and are only comparable to others using similar acquisition schemes and fitting constraints.",

keywords = "Intercompartmental exchange, mcDESPOT, Myelin water fraction, Quantitative MRI, Stochastic region contraction, White matter-grey matter contrast",

author = "Daniel West and {Azeredo Gomes Teixeira}, {Rui Pedro} and Tobias Wood and Hajnal, {Joseph Vilmos} and Jacques-Donald Tournier and Malik, {Shaihan Jalal}",

year = "2019",

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doi = "10.1016/j.neuroimage.2019.03.049",

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T1 - Inherent and unpredictable bias in multi-component DESPOT myelin water fraction estimation.

AU - West, Daniel

AU - Azeredo Gomes Teixeira, Rui Pedro

AU - Wood, Tobias

AU - Hajnal, Joseph Vilmos

AU - Tournier, Jacques-Donald

AU - Malik, Shaihan Jalal

PY - 2019/7

Y1 - 2019/7

N2 - Multicomponent driven equilibrium steady-state observation of T1 and T2 (mcDESPOT) aims to quantify the Myelin Water Fraction (MWF) using a two-pool microstructural model. The MWF has been used to track neurodevelopment and neurodegeneration and has been histologically correlated to myelin content. mcDESPOT has a clinically feasible acquisition time and high signal-to-noise ratio (SNR) relative to other MWF techniques. However, disagreement exists in the literature between experimental studies that show MWF maps with plausible grey matter-white matter (GM-WM) contrast and theoretical work that questions the accuracy and precision of mcDESPOT. We demonstrate that mcDESPOT parameter estimation is inaccurate and imprecise if intercompartmental exchange is included in the microstructural model, but that significant bias results if exchange is neglected. The source of apparent MWF contrast is likely due to the complex convergence behaviour of the Stochastic Region Contraction (SRC) method commonly used to fit the mcDESPOT model. mcDESPOT-derived parameter estimates are hence not directly relatable to the underlying microstructural model and are only comparable to others using similar acquisition schemes and fitting constraints.

AB - Multicomponent driven equilibrium steady-state observation of T1 and T2 (mcDESPOT) aims to quantify the Myelin Water Fraction (MWF) using a two-pool microstructural model. The MWF has been used to track neurodevelopment and neurodegeneration and has been histologically correlated to myelin content. mcDESPOT has a clinically feasible acquisition time and high signal-to-noise ratio (SNR) relative to other MWF techniques. However, disagreement exists in the literature between experimental studies that show MWF maps with plausible grey matter-white matter (GM-WM) contrast and theoretical work that questions the accuracy and precision of mcDESPOT. We demonstrate that mcDESPOT parameter estimation is inaccurate and imprecise if intercompartmental exchange is included in the microstructural model, but that significant bias results if exchange is neglected. The source of apparent MWF contrast is likely due to the complex convergence behaviour of the Stochastic Region Contraction (SRC) method commonly used to fit the mcDESPOT model. mcDESPOT-derived parameter estimates are hence not directly relatable to the underlying microstructural model and are only comparable to others using similar acquisition schemes and fitting constraints.

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JO - NeuroImage

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Inherent and unpredictable bias in multi-component DESPOT myelin water fraction estimation.

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Keywords

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