Deterministic Group Tractography with Local Uncertainty Quantification

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Standard

Deterministic Group Tractography with Local Uncertainty Quantification. / Holm, Andreas Nugaard; Feragen, Aasa; Dela Haije, Tom; Darkner, Sune.

Computational Diffusion: International MICCAI Workshop, Granada,. ed. / Elisenda Bonet-Carne; Francesco Grussu; Lipeng Ning; Farshid Sepehrband; Chantal M. W. Tax. 226249. ed. Springer, 2019. p. 377-386 (Mathematics and Visualization).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Harvard

Holm, AN, Feragen, A, Dela Haije, T & Darkner, S 2019, Deterministic Group Tractography with Local Uncertainty Quantification. in E Bonet-Carne, F Grussu, L Ning, F Sepehrband & CMW Tax (eds), Computational Diffusion: International MICCAI Workshop, Granada,. 226249 edn, Springer, Mathematics and Visualization, pp. 377-386, International Workshop on Computational Diffusion MRI, CDMRI 2018 held with International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018, Granada, Spain, 20/09/2018. https://doi.org/10.1007/978-3-030-05831-9_30

APA

Holm, A. N., Feragen, A., Dela Haije, T., & Darkner, S. (2019). Deterministic Group Tractography with Local Uncertainty Quantification. In E. Bonet-Carne, F. Grussu, L. Ning, F. Sepehrband, & C. M. W. Tax (Eds.), Computational Diffusion: International MICCAI Workshop, Granada, (226249 ed., pp. 377-386). Springer. Mathematics and Visualization https://doi.org/10.1007/978-3-030-05831-9_30

Vancouver

Holm AN, Feragen A, Dela Haije T, Darkner S. Deterministic Group Tractography with Local Uncertainty Quantification. In Bonet-Carne E, Grussu F, Ning L, Sepehrband F, Tax CMW, editors, Computational Diffusion: International MICCAI Workshop, Granada,. 226249 ed. Springer. 2019. p. 377-386. (Mathematics and Visualization). https://doi.org/10.1007/978-3-030-05831-9_30

Author

Holm, Andreas Nugaard ; Feragen, Aasa ; Dela Haije, Tom ; Darkner, Sune. / Deterministic Group Tractography with Local Uncertainty Quantification. Computational Diffusion: International MICCAI Workshop, Granada,. editor / Elisenda Bonet-Carne ; Francesco Grussu ; Lipeng Ning ; Farshid Sepehrband ; Chantal M. W. Tax. 226249. ed. Springer, 2019. pp. 377-386 (Mathematics and Visualization).

Bibtex

@inproceedings{5930f70d94cb4bbbbadd32c97b58fc33,
title = "Deterministic Group Tractography with Local Uncertainty Quantification",
abstract = "While tractography is routinely used to trace the white-matter connectivity in individual subjects, the population analysis of tractography output is hampered by the difficulty of comparing populations of curves. As a result, analysis is often reduced to population summaries such as TBSS, or made pointwise with similar interaction of remote and nearby tracts. As an easy-to-use alternative, we propose population-wide tractography in MNI space, by simultaneously considering diffusion data from the entire population, registered to MNI. We include voxel-wise quantification of population variability as a measure of uncertainty. The group tractography algorithm is illustrated on a population of subjects from the Human Connectome Project, obtaining robust population estimates of the white matter tracts.",
keywords = "Population analysis, Tractography, Uncertainty quantification",
author = "Holm, {Andreas Nugaard} and Aasa Feragen and {Dela Haije}, Tom and Sune Darkner",
year = "2019",
doi = "10.1007/978-3-030-05831-9_30",
language = "English",
isbn = "978-3-030-05830-2",
series = "Mathematics and Visualization",
publisher = "Springer",
pages = "377--386",
editor = "Bonet-Carne, {Elisenda } and Grussu, {Francesco } and Ning, {Lipeng } and Sepehrband, {Farshid } and Tax, {Chantal M. W. }",
booktitle = "Computational Diffusion",
edition = "226249",

}

RIS

TY - GEN

T1 - Deterministic Group Tractography with Local Uncertainty Quantification

AU - Holm, Andreas Nugaard

AU - Feragen, Aasa

AU - Dela Haije, Tom

AU - Darkner, Sune

PY - 2019

Y1 - 2019

N2 - While tractography is routinely used to trace the white-matter connectivity in individual subjects, the population analysis of tractography output is hampered by the difficulty of comparing populations of curves. As a result, analysis is often reduced to population summaries such as TBSS, or made pointwise with similar interaction of remote and nearby tracts. As an easy-to-use alternative, we propose population-wide tractography in MNI space, by simultaneously considering diffusion data from the entire population, registered to MNI. We include voxel-wise quantification of population variability as a measure of uncertainty. The group tractography algorithm is illustrated on a population of subjects from the Human Connectome Project, obtaining robust population estimates of the white matter tracts.

AB - While tractography is routinely used to trace the white-matter connectivity in individual subjects, the population analysis of tractography output is hampered by the difficulty of comparing populations of curves. As a result, analysis is often reduced to population summaries such as TBSS, or made pointwise with similar interaction of remote and nearby tracts. As an easy-to-use alternative, we propose population-wide tractography in MNI space, by simultaneously considering diffusion data from the entire population, registered to MNI. We include voxel-wise quantification of population variability as a measure of uncertainty. The group tractography algorithm is illustrated on a population of subjects from the Human Connectome Project, obtaining robust population estimates of the white matter tracts.

KW - Population analysis

KW - Tractography

KW - Uncertainty quantification

UR - http://www.scopus.com/inward/record.url?scp=85066914798&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-05831-9_30

DO - 10.1007/978-3-030-05831-9_30

M3 - Article in proceedings

SN - 978-3-030-05830-2

T3 - Mathematics and Visualization

SP - 377

EP - 386

BT - Computational Diffusion

A2 - Bonet-Carne, Elisenda

A2 - Grussu, Francesco

A2 - Ning, Lipeng

A2 - Sepehrband, Farshid

A2 - Tax, Chantal M. W.

PB - Springer

ER -

ID: 223569891