### Uittreksel

Originele taal-2 | Engels |
---|---|

Plaats van productie | Eindhoven |

Uitgeverij | Technische Universiteit Eindhoven |

Aantal pagina's | 12 |

Status | Gepubliceerd - 2010 |

### Publicatie series

Naam | CASA-report |
---|---|

Volume | 1027 |

ISSN van geprinte versie | 0926-4507 |

### Vingerafdruk

### Citeer dit

*An innovative geodesic based multi-valued fiber-tracking algorithm for diffusion tensor imaging*. (CASA-report; Vol. 1027). Eindhoven: Technische Universiteit Eindhoven.

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*An innovative geodesic based multi-valued fiber-tracking algorithm for diffusion tensor imaging*. CASA-report, vol. 1027, Technische Universiteit Eindhoven, Eindhoven.

**An innovative geodesic based multi-valued fiber-tracking algorithm for diffusion tensor imaging.** / Sepasian, N.; Vilanova, A.; Thije Boonkkamp, ten, J.H.M.; Haar Romeny, ter, B.M.

Onderzoeksoutput: Boek/rapport › Rapport › Academic

TY - BOOK

T1 - An innovative geodesic based multi-valued fiber-tracking algorithm for diffusion tensor imaging

AU - Sepasian, N.

AU - Vilanova, A.

AU - Thije Boonkkamp, ten, J.H.M.

AU - Haar Romeny, ter, B.M.

PY - 2010

Y1 - 2010

N2 - We propose a new geodesic based algorithm for fiber tracking in diffusion tensor imaging data. Our algorithm computes the multi-valued solutions from the Euler-Lagrange form of the geodesic equations. Compared to other geodesic based approaches, multi-valued solutions at each grid point are computed rather than just computing the viscosity solution. This allows us to compute fibers in a region with sharp orientation, or when the correct physical solution is not the fiber computed from the first arrival time. Compared to the classical stream-line approach, our method is less sensitive to noise, since the complete tensor is used. We also compare our algorithm with the Hamilton-Jacobi equation (HJ) based approach. We show that in the cases where U-shaped bundles appear, our algorithm can capture the underlying fiber structure while other approaches may fail. The results for synthetic and real data are shown for both methods.

AB - We propose a new geodesic based algorithm for fiber tracking in diffusion tensor imaging data. Our algorithm computes the multi-valued solutions from the Euler-Lagrange form of the geodesic equations. Compared to other geodesic based approaches, multi-valued solutions at each grid point are computed rather than just computing the viscosity solution. This allows us to compute fibers in a region with sharp orientation, or when the correct physical solution is not the fiber computed from the first arrival time. Compared to the classical stream-line approach, our method is less sensitive to noise, since the complete tensor is used. We also compare our algorithm with the Hamilton-Jacobi equation (HJ) based approach. We show that in the cases where U-shaped bundles appear, our algorithm can capture the underlying fiber structure while other approaches may fail. The results for synthetic and real data are shown for both methods.

M3 - Report

T3 - CASA-report

BT - An innovative geodesic based multi-valued fiber-tracking algorithm for diffusion tensor imaging

PB - Technische Universiteit Eindhoven

CY - Eindhoven

ER -