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CSF contamination-invariant statistics in conventional diffusion-weighted MRI of the fornix. / Arkesteijn, Joor; Poot, Dirk; de Groot, M; Ikram, M A; Niessen, Wiro; van Vliet, Lucas; Vernooij, MW; Vos, Frans.

In: Biomedical Physics & Engineering Express, Vol. 3, 065003, 30.08.2017, p. 1-14.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Arkesteijn, J, Poot, D, de Groot, M, Ikram, MA, Niessen, W, van Vliet, L, Vernooij, MW & Vos, F 2017, 'CSF contamination-invariant statistics in conventional diffusion-weighted MRI of the fornix', Biomedical Physics & Engineering Express, vol. 3, 065003, pp. 1-14. https://doi.org/10.1088/2057-1976/aa890e

APA

Arkesteijn, J., Poot, D., de Groot, M., Ikram, M. A., Niessen, W., van Vliet, L., Vernooij, MW., & Vos, F. (2017). CSF contamination-invariant statistics in conventional diffusion-weighted MRI of the fornix. Biomedical Physics & Engineering Express, 3, 1-14. [065003]. https://doi.org/10.1088/2057-1976/aa890e

Vancouver

Arkesteijn J, Poot D, de Groot M, Ikram MA, Niessen W, van Vliet L et al. CSF contamination-invariant statistics in conventional diffusion-weighted MRI of the fornix. Biomedical Physics & Engineering Express. 2017 Aug 30;3:1-14. 065003. https://doi.org/10.1088/2057-1976/aa890e

Author

Arkesteijn, Joor ; Poot, Dirk ; de Groot, M ; Ikram, M A ; Niessen, Wiro ; van Vliet, Lucas ; Vernooij, MW ; Vos, Frans. / CSF contamination-invariant statistics in conventional diffusion-weighted MRI of the fornix. In: Biomedical Physics & Engineering Express. 2017 ; Vol. 3. pp. 1-14.

BibTeX

@article{d3ae47509cb243108ec9885a937da358,
title = "CSF contamination-invariant statistics in conventional diffusion-weighted MRI of the fornix",
abstract = "The goal of this paper is to develop a method for assessment of microstructural properties of the fornix in conventional (low resolution, single non-zero b-value) diffusion-weighted magnetic resonance imaging (DW-MRI) data. For this purpose, a bi-tensor model, comprising of an isotropic and an anisotropic diffusion compartment, was fitted to the diffusion-weighted images. Two subject-specific constraints were studied to solve the ill-posedness of the parameter estimation at a single (non-zero) b-value, namely by fixating the mean diffusivity (MD) or the axial diffusivity (AxD) of the anisotropic compartment. The bi-tensor statistics were compared to conventional diffusion statistics using simulated fiber bundles with different diameters and using fornix segmentations of 577 elderly subjects. Based on simulated fiber bundles, the anisotropy (FA) estimated by the bi-tensor model did not become biased with decreasing fiber bundle diameter, unlike conventional diffusion statistics such as FA and MD estimated by the single tensor model. In the population-based study, the bi-tensor tissue fraction decreased significantly with age, suggesting an increase of free water. The FA estimated by the bi-tensor model decreased with age, but this relation was not significant when the subject-specific values to which MD or AxD were constrained were added as covariates in the regression analysis. The distinction of an isotropic and an anisotropic diffusion compartment may allow a more sophisticated analysis of the fornix based on conventional DW-MRI data.",
author = "Joor Arkesteijn and Dirk Poot and {de Groot}, M and Ikram, {M A} and Wiro Niessen and {van Vliet}, Lucas and MW Vernooij and Frans Vos",
year = "2017",
month = aug,
day = "30",
doi = "10.1088/2057-1976/aa890e",
language = "English",
volume = "3",
pages = "1--14",
journal = "Biomedical Physics & Engineering Express",
issn = "2057-1976",
publisher = "IOP Publishing",

}

RIS

TY - JOUR

T1 - CSF contamination-invariant statistics in conventional diffusion-weighted MRI of the fornix

AU - Arkesteijn, Joor

AU - Poot, Dirk

AU - de Groot, M

AU - Ikram, M A

AU - Niessen, Wiro

AU - van Vliet, Lucas

AU - Vernooij, MW

AU - Vos, Frans

PY - 2017/8/30

Y1 - 2017/8/30

N2 - The goal of this paper is to develop a method for assessment of microstructural properties of the fornix in conventional (low resolution, single non-zero b-value) diffusion-weighted magnetic resonance imaging (DW-MRI) data. For this purpose, a bi-tensor model, comprising of an isotropic and an anisotropic diffusion compartment, was fitted to the diffusion-weighted images. Two subject-specific constraints were studied to solve the ill-posedness of the parameter estimation at a single (non-zero) b-value, namely by fixating the mean diffusivity (MD) or the axial diffusivity (AxD) of the anisotropic compartment. The bi-tensor statistics were compared to conventional diffusion statistics using simulated fiber bundles with different diameters and using fornix segmentations of 577 elderly subjects. Based on simulated fiber bundles, the anisotropy (FA) estimated by the bi-tensor model did not become biased with decreasing fiber bundle diameter, unlike conventional diffusion statistics such as FA and MD estimated by the single tensor model. In the population-based study, the bi-tensor tissue fraction decreased significantly with age, suggesting an increase of free water. The FA estimated by the bi-tensor model decreased with age, but this relation was not significant when the subject-specific values to which MD or AxD were constrained were added as covariates in the regression analysis. The distinction of an isotropic and an anisotropic diffusion compartment may allow a more sophisticated analysis of the fornix based on conventional DW-MRI data.

AB - The goal of this paper is to develop a method for assessment of microstructural properties of the fornix in conventional (low resolution, single non-zero b-value) diffusion-weighted magnetic resonance imaging (DW-MRI) data. For this purpose, a bi-tensor model, comprising of an isotropic and an anisotropic diffusion compartment, was fitted to the diffusion-weighted images. Two subject-specific constraints were studied to solve the ill-posedness of the parameter estimation at a single (non-zero) b-value, namely by fixating the mean diffusivity (MD) or the axial diffusivity (AxD) of the anisotropic compartment. The bi-tensor statistics were compared to conventional diffusion statistics using simulated fiber bundles with different diameters and using fornix segmentations of 577 elderly subjects. Based on simulated fiber bundles, the anisotropy (FA) estimated by the bi-tensor model did not become biased with decreasing fiber bundle diameter, unlike conventional diffusion statistics such as FA and MD estimated by the single tensor model. In the population-based study, the bi-tensor tissue fraction decreased significantly with age, suggesting an increase of free water. The FA estimated by the bi-tensor model decreased with age, but this relation was not significant when the subject-specific values to which MD or AxD were constrained were added as covariates in the regression analysis. The distinction of an isotropic and an anisotropic diffusion compartment may allow a more sophisticated analysis of the fornix based on conventional DW-MRI data.

U2 - 10.1088/2057-1976/aa890e

DO - 10.1088/2057-1976/aa890e

M3 - Article

VL - 3

SP - 1

EP - 14

JO - Biomedical Physics & Engineering Express

JF - Biomedical Physics & Engineering Express

SN - 2057-1976

M1 - 065003

ER -

ID: 33421285