Probabilistic shortest path tractography in DTI using gaussian process ODE solvers

Michael Schober; Niklas Kasenburg; Aasa Feragen; Philipp Hennig; Søren Hauberg

doi:10.1007/978-3-319-10443-0_34

Probabilistic shortest path tractography in DTI using gaussian process ODE solvers

Michael Schober, Niklas Kasenburg, Aasa Feragen, Philipp Hennig, Søren Hauberg

Datalogisk Institut

20 Citationer (Scopus)

Abstract

Tractography in diffusion tensor imaging estimates connectivity in the brain through observations of local diffusivity. These observations are noisy and of low resolution and, as a consequence, connections cannot be found with high precision. We use probabilistic numerics to estimate connectivity between regions of interest and contribute a Gaussian Process tractography algorithm which allows for both quantification and visualization of its posterior uncertainty. We use the uncertainty both in visualization of individual tracts as well as in heat maps of tract locations. Finally, we provide a quantitative evaluation of different metrics and algorithms showing that the adjoint metric [8] combined with our algorithm produces paths which agree most often with experts.

Originalsprog	Engelsk
Titel	Medical image computing and computer-assisted intervention – MICCAI 2014 : 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part III
Redaktører	Polina Golland, Nobuhiko Hata, Christian Barillot, Joachim Hornegger, Robert Howe
Antal sider	8
Forlag	Springer
Publikationsdato	2014
Sider	265-272
Kapitel	34
ISBN (Trykt)	978-3-319-10442-3
DOI	https://doi.org/10.1007/978-3-319-10443-0_34
Status	Udgivet - 2014
Begivenhed	International Conference, MICCAI 2014 - Boston, USA Varighed: 14 sep. 2014 → 18 sep. 2014 Konferencens nummer: 17

Konference

Konference	International Conference, MICCAI 2014
Nummer	17
Land/Område	USA
By	Boston
Periode	14/09/2014 → 18/09/2014

Navn	Lecture notes in computer science
Vol/bind	8675
ISSN	0302-9743

Adgang til dokumentet

10.1007/978-3-319-10443-0_34

https://link.springer.com/content/pdf/10.1007/978-3-319-10443-0_34.pdf

Citationsformater

Schober, M., Kasenburg, N., Feragen, A., Hennig, P., & Hauberg, S. (2014). Probabilistic shortest path tractography in DTI using gaussian process ODE solvers. I P. Golland, N. Hata, C. Barillot, J. Hornegger, & R. Howe (red.), Medical image computing and computer-assisted intervention – MICCAI 2014: 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part III (s. 265-272). Springer. Lecture notes in computer science Bind 8675 https://doi.org/10.1007/978-3-319-10443-0_34

Probabilistic shortest path tractography in DTI using gaussian process ODE solvers. / Schober, Michael; Kasenburg, Niklas; Feragen, Aasa et al.

Medical image computing and computer-assisted intervention – MICCAI 2014: 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part III. red. / Polina Golland; Nobuhiko Hata; Christian Barillot; Joachim Hornegger; Robert Howe. Springer, 2014. s. 265-272 (Lecture notes in computer science, Bind 8675).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

Schober, M, Kasenburg, N, Feragen, A, Hennig, P & Hauberg, S 2014, Probabilistic shortest path tractography in DTI using gaussian process ODE solvers. i P Golland, N Hata, C Barillot, J Hornegger & R Howe (red), Medical image computing and computer-assisted intervention – MICCAI 2014: 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part III. Springer, Lecture notes in computer science, bind 8675, s. 265-272, International Conference, MICCAI 2014, Boston, USA, 14/09/2014. https://doi.org/10.1007/978-3-319-10443-0_34

Schober M, Kasenburg N, Feragen A, Hennig P, Hauberg S. Probabilistic shortest path tractography in DTI using gaussian process ODE solvers. I Golland P, Hata N, Barillot C, Hornegger J, Howe R, red., Medical image computing and computer-assisted intervention – MICCAI 2014: 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part III. Springer. 2014. s. 265-272. (Lecture notes in computer science, Bind 8675). doi: 10.1007/978-3-319-10443-0_34

Schober, Michael ; Kasenburg, Niklas ; Feragen, Aasa et al. / Probabilistic shortest path tractography in DTI using gaussian process ODE solvers. Medical image computing and computer-assisted intervention – MICCAI 2014: 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part III. red. / Polina Golland ; Nobuhiko Hata ; Christian Barillot ; Joachim Hornegger ; Robert Howe. Springer, 2014. s. 265-272 (Lecture notes in computer science, Bind 8675).

@inproceedings{9301d648722941939cf299851c97c30d,

title = "Probabilistic shortest path tractography in DTI using gaussian process ODE solvers",

abstract = "Tractography in diffusion tensor imaging estimates connectivity in the brain through observations of local diffusivity. These observations are noisy and of low resolution and, as a consequence, connections cannot be found with high precision. We use probabilistic numerics to estimate connectivity between regions of interest and contribute a Gaussian Process tractography algorithm which allows for both quantification and visualization of its posterior uncertainty. We use the uncertainty both in visualization of individual tracts as well as in heat maps of tract locations. Finally, we provide a quantitative evaluation of different metrics and algorithms showing that the adjoint metric [8] combined with our algorithm produces paths which agree most often with experts.",

author = "Michael Schober and Niklas Kasenburg and Aasa Feragen and Philipp Hennig and S{\o}ren Hauberg",

year = "2014",

doi = "10.1007/978-3-319-10443-0_34",

language = "English",

isbn = "978-3-319-10442-3",

series = "Lecture notes in computer science",

publisher = "Springer",

pages = "265--272",

editor = "Polina Golland and Nobuhiko Hata and Christian Barillot and Joachim Hornegger and Robert Howe",

booktitle = "Medical image computing and computer-assisted intervention – MICCAI 2014",

note = "International Conference, MICCAI 2014 ; Conference date: 14-09-2014 Through 18-09-2014",

}

TY - GEN

T1 - Probabilistic shortest path tractography in DTI using gaussian process ODE solvers

AU - Schober, Michael

AU - Kasenburg, Niklas

AU - Feragen, Aasa

AU - Hennig, Philipp

AU - Hauberg, Søren

N1 - Conference code: 17

PY - 2014

Y1 - 2014

N2 - Tractography in diffusion tensor imaging estimates connectivity in the brain through observations of local diffusivity. These observations are noisy and of low resolution and, as a consequence, connections cannot be found with high precision. We use probabilistic numerics to estimate connectivity between regions of interest and contribute a Gaussian Process tractography algorithm which allows for both quantification and visualization of its posterior uncertainty. We use the uncertainty both in visualization of individual tracts as well as in heat maps of tract locations. Finally, we provide a quantitative evaluation of different metrics and algorithms showing that the adjoint metric [8] combined with our algorithm produces paths which agree most often with experts.

AB - Tractography in diffusion tensor imaging estimates connectivity in the brain through observations of local diffusivity. These observations are noisy and of low resolution and, as a consequence, connections cannot be found with high precision. We use probabilistic numerics to estimate connectivity between regions of interest and contribute a Gaussian Process tractography algorithm which allows for both quantification and visualization of its posterior uncertainty. We use the uncertainty both in visualization of individual tracts as well as in heat maps of tract locations. Finally, we provide a quantitative evaluation of different metrics and algorithms showing that the adjoint metric [8] combined with our algorithm produces paths which agree most often with experts.

U2 - 10.1007/978-3-319-10443-0_34

DO - 10.1007/978-3-319-10443-0_34

M3 - Article in proceedings

SN - 978-3-319-10442-3

T3 - Lecture notes in computer science

SP - 265

EP - 272

BT - Medical image computing and computer-assisted intervention – MICCAI 2014

A2 - Golland, Polina

A2 - Hata, Nobuhiko

A2 - Barillot, Christian

A2 - Hornegger, Joachim

A2 - Howe, Robert

PB - Springer

T2 - International Conference, MICCAI 2014

Y2 - 14 September 2014 through 18 September 2014

ER -

Probabilistic shortest path tractography in DTI using gaussian process ODE solvers

Abstract

Konference

Adgang til dokumentet

Fingeraftryk

Citationsformater