### Abstract

One of the approaches in the analysis of brain diffusion MRI data is to consider white matter as a Riemannian manifold, with a metric given by the inverse of the diffusion tensor. Such a metric is used
for white matter tractography and connectivity analysis. Although this choice of metric is heuristically justified it has not been derived from first principles. We propose a modification of the metric tensor motivated by the underlying mathematics of diffusion.

Original language | English |
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Title of host publication | Proceedings of the International Biomedical and Astronomical Signal Processing (BASP) Frontiers workshop, 27 January - 1 February 2013, Villars-sur-Ollon |

Pages | 62-62 |

Publication status | Published - 2013 |

Event | conference; Biomedical and Astronomical Signal Processing (BASP) Frontiers workshop 2013; 2013-01-27; 2013-02-01 - Duration: 27 Jan 2013 → 1 Feb 2013 |

### Conference

Conference | conference; Biomedical and Astronomical Signal Processing (BASP) Frontiers workshop 2013; 2013-01-27; 2013-02-01 |
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Period | 27/01/13 → 1/02/13 |

Other | Biomedical and Astronomical Signal Processing (BASP) Frontiers workshop 2013 |

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## Cite this

Fuster, A., Dela Haije, T. C. J., & Florack, L. M. J. (2013). On the Riemannian rationale for diffusion tensor imaging. In

*Proceedings of the International Biomedical and Astronomical Signal Processing (BASP) Frontiers workshop, 27 January - 1 February 2013, Villars-sur-Ollon*(pp. 62-62)