A novel Riemannian metric for geodesic tractography in DTI

Andrea Fuster; Antonio Tristán-Vega; Tom C. J. Dela Haije; Carl-Fredrik Westin; Luc Florack

doi:10.1007/978-3-319-02475-2_9

A novel Riemannian metric for geodesic tractography in DTI

Andrea Fuster, Antonio Tristán-Vega, Tom C. J. Dela Haije, Carl-Fredrik Westin, Luc Florack

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

15 Citations (Scopus)

1 Downloads (Pure)

Abstract

One of the approaches in diffusion tensor imaging is to consider a Riemannian metric given by the inverse diffusion tensor. Such a metric is used for white matter tractography and connectivity analysis. We propose a modified metric tensor given by the adjugate rather than the inverse diffusion tensor. Tractography experiments on real brain diffusion data show improvement in the vicinity of isotropic diffusion regions compared to results for inverse (sharpened) diffusion tensors.

Original language	English
Title of host publication	Computational Diffusion MRI and Brain Connectivity (MICCAI Workshop, Nagoya, Japan, September 22, 2013)
Editors	T. Schultz, A. Venkataraman, L. O'Donnell, E. Panagiotaki
Place of Publication	Berlin
Publisher	Springer
Pages	97-104
Number of pages	8
ISBN (Print)	978-3-319-02474-5
DOIs	https://doi.org/10.1007/978-3-319-02475-2_9
Publication status	Published - 2014
Event	MICCAI 2013 Workshop on Computational Diffusion MRI (CDMRI '13), September 22, 2013, Nagoya, Japan - Nagoya, Japan Duration: 22 Sept 2013 → 22 Sept 2013 http://cmic.cs.ucl.ac.uk/cdmri13/

Publication series

Name	Mathematics and Visualization
ISSN (Print)	1612-3786

Workshop

Workshop	MICCAI 2013 Workshop on Computational Diffusion MRI (CDMRI '13), September 22, 2013, Nagoya, Japan
Abbreviated title	CDMRI '13
Country/Territory	Japan
City	Nagoya
Period	22/09/13 → 22/09/13
Other	Workshop held in conjunction with 16th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2013)
Internet address	http://cmic.cs.ucl.ac.uk/cdmri13/

Access to Document

10.1007/978-3-319-02475-2_9

Cite this

Fuster, A., Tristán-Vega, A., Haije, T. C. J. D., Westin, C-F., & Florack, L. (2014). A novel Riemannian metric for geodesic tractography in DTI. In T. Schultz, A. Venkataraman, L. O'Donnell, & E. Panagiotaki (Eds.), Computational Diffusion MRI and Brain Connectivity (MICCAI Workshop, Nagoya, Japan, September 22, 2013) (pp. 97-104). (Mathematics and Visualization). Springer. https://doi.org/10.1007/978-3-319-02475-2_9

Fuster, Andrea ; Tristán-Vega, Antonio ; Haije, Tom C. J. Dela et al. / A novel Riemannian metric for geodesic tractography in DTI. Computational Diffusion MRI and Brain Connectivity (MICCAI Workshop, Nagoya, Japan, September 22, 2013). editor / T. Schultz ; A. Venkataraman ; L. O'Donnell ; E. Panagiotaki. Berlin : Springer, 2014. pp. 97-104 (Mathematics and Visualization).

@inproceedings{0a99e7e417d34c55a0082ad3455cf50c,

title = "A novel Riemannian metric for geodesic tractography in DTI",

abstract = "One of the approaches in diffusion tensor imaging is to consider a Riemannian metric given by the inverse diffusion tensor. Such a metric is used for white matter tractography and connectivity analysis. We propose a modified metric tensor given by the adjugate rather than the inverse diffusion tensor. Tractography experiments on real brain diffusion data show improvement in the vicinity of isotropic diffusion regions compared to results for inverse (sharpened) diffusion tensors.",

author = "Andrea Fuster and Antonio Trist{\'a}n-Vega and Haije, {Tom C. J. Dela} and Carl-Fredrik Westin and Luc Florack",

year = "2014",

doi = "10.1007/978-3-319-02475-2_9",

language = "English",

isbn = "978-3-319-02474-5",

series = "Mathematics and Visualization",

publisher = "Springer",

pages = "97--104",

editor = "T. Schultz and A. Venkataraman and L. O'Donnell and E. Panagiotaki",

booktitle = "Computational Diffusion MRI and Brain Connectivity (MICCAI Workshop, Nagoya, Japan, September 22, 2013)",

address = "Germany",

note = "MICCAI 2013 Workshop on Computational Diffusion MRI (CDMRI '13), September 22, 2013, Nagoya, Japan, CDMRI '13 ; Conference date: 22-09-2013 Through 22-09-2013",

url = "http://cmic.cs.ucl.ac.uk/cdmri13/",

}

Fuster, A, Tristán-Vega, A, Haije, TCJD, Westin, C-F & Florack, L 2014, A novel Riemannian metric for geodesic tractography in DTI. in T Schultz, A Venkataraman, L O'Donnell & E Panagiotaki (eds), Computational Diffusion MRI and Brain Connectivity (MICCAI Workshop, Nagoya, Japan, September 22, 2013). Mathematics and Visualization, Springer, Berlin, pp. 97-104, MICCAI 2013 Workshop on Computational Diffusion MRI (CDMRI '13), September 22, 2013, Nagoya, Japan, Nagoya, Japan, 22/09/13. https://doi.org/10.1007/978-3-319-02475-2_9

A novel Riemannian metric for geodesic tractography in DTI. / Fuster, Andrea; Tristán-Vega, Antonio; Haije, Tom C. J. Dela et al.
Computational Diffusion MRI and Brain Connectivity (MICCAI Workshop, Nagoya, Japan, September 22, 2013). ed. / T. Schultz; A. Venkataraman; L. O'Donnell; E. Panagiotaki. Berlin: Springer, 2014. p. 97-104 (Mathematics and Visualization).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - A novel Riemannian metric for geodesic tractography in DTI

AU - Fuster, Andrea

AU - Tristán-Vega, Antonio

AU - Haije, Tom C. J. Dela

AU - Westin, Carl-Fredrik

AU - Florack, Luc

PY - 2014

Y1 - 2014

N2 - One of the approaches in diffusion tensor imaging is to consider a Riemannian metric given by the inverse diffusion tensor. Such a metric is used for white matter tractography and connectivity analysis. We propose a modified metric tensor given by the adjugate rather than the inverse diffusion tensor. Tractography experiments on real brain diffusion data show improvement in the vicinity of isotropic diffusion regions compared to results for inverse (sharpened) diffusion tensors.

AB - One of the approaches in diffusion tensor imaging is to consider a Riemannian metric given by the inverse diffusion tensor. Such a metric is used for white matter tractography and connectivity analysis. We propose a modified metric tensor given by the adjugate rather than the inverse diffusion tensor. Tractography experiments on real brain diffusion data show improvement in the vicinity of isotropic diffusion regions compared to results for inverse (sharpened) diffusion tensors.

U2 - 10.1007/978-3-319-02475-2_9

DO - 10.1007/978-3-319-02475-2_9

M3 - Conference contribution

SN - 978-3-319-02474-5

T3 - Mathematics and Visualization

SP - 97

EP - 104

BT - Computational Diffusion MRI and Brain Connectivity (MICCAI Workshop, Nagoya, Japan, September 22, 2013)

A2 - Schultz, T.

A2 - Venkataraman, A.

A2 - O'Donnell, L.

A2 - Panagiotaki, E.

PB - Springer

CY - Berlin

T2 - MICCAI 2013 Workshop on Computational Diffusion MRI (CDMRI '13), September 22, 2013, Nagoya, Japan

Y2 - 22 September 2013 through 22 September 2013

ER -

Fuster A, Tristán-Vega A, Haije TCJD, Westin C-F, Florack L. A novel Riemannian metric for geodesic tractography in DTI. In Schultz T, Venkataraman A, O'Donnell L, Panagiotaki E, editors, Computational Diffusion MRI and Brain Connectivity (MICCAI Workshop, Nagoya, Japan, September 22, 2013). Berlin: Springer. 2014. p. 97-104. (Mathematics and Visualization). doi: 10.1007/978-3-319-02475-2_9

A novel Riemannian metric for geodesic tractography in DTI

Abstract

Publication series

Workshop

Access to Document

Fingerprint

Cite this