### Abstract

Original language | English |
---|---|

Title of host publication | Lecture Notes in Computer Science : Scandinavian Conference on Image Analysis |

Editors | Bjarne Kjær Ersbøll, Kim Steenstrup Pedersen |

Volume | 4522 |

Place of Publication | Berlin / Heidelberg |

Publisher | Springer |

Publication date | 2007 |

Pages | 780-788 |

ISBN (Print) | 978-3-540-73039-2 |

DOIs | |

Publication status | Published - 2007 |

Event | 15th Scandinavian Conference on Image Analysis (SCIA) - Aalborg, Denmark Duration: 1 Jan 2007 → … |

### Conference

Conference | 15th Scandinavian Conference on Image Analysis (SCIA) |
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Country | Denmark |

City | Aalborg |

Period | 01/01/2007 → … |

### Cite this

*Lecture Notes in Computer Science: Scandinavian Conference on Image Analysis*(Vol. 4522, pp. 780-788). Berlin / Heidelberg: Springer. https://doi.org/10.1007/978-3-540-73040-8_79

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*Lecture Notes in Computer Science: Scandinavian Conference on Image Analysis.*vol. 4522, Springer, Berlin / Heidelberg, pp. 780-788, 15th Scandinavian Conference on Image Analysis (SCIA), Aalborg, Denmark, 01/01/2007. https://doi.org/10.1007/978-3-540-73040-8_79

**Surface-to-surface registration using level sets.** / Hansen, Mads Fogtmann; Erbou, Søren G.; Vester-Christensen, Martin; Larsen, Rasmus; Ersbøll, Bjarne Kjær; Christensen, Lars Bager.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Surface-to-surface registration using level sets

AU - Hansen, Mads Fogtmann

AU - Erbou, Søren G.

AU - Vester-Christensen, Martin

AU - Larsen, Rasmus

AU - Ersbøll, Bjarne Kjær

AU - Christensen, Lars Bager

PY - 2007

Y1 - 2007

N2 - This paper presents a general approach for surface-to-surface registration (S2SR) with the Euclidean metric using signed distance maps. In addition, the method is symmetric such that the registration of a shape A to a shape B is identical to the registration of the shape B to the shape A. The S2SR problem can be approximated by the image registration (IR) problem of the signed distance maps (SDMs) of the surfaces confined to some narrow band. By shrinking the narrow bands around the zero level sets the solution to the IR problem converges towards the S2SR problem. It is our hypothesis that this approach is more robust and less prone to fall into local minima than ordinary surface-to-surface registration. The IR problem is solved using the inverse compositional algorithm. In this paper, a set of 40 pelvic bones of Duroc pigs are registered to each other w.r.t. the Euclidean transformation with both the S2SR approach and iterative closest point approach, and the results are compared.

AB - This paper presents a general approach for surface-to-surface registration (S2SR) with the Euclidean metric using signed distance maps. In addition, the method is symmetric such that the registration of a shape A to a shape B is identical to the registration of the shape B to the shape A. The S2SR problem can be approximated by the image registration (IR) problem of the signed distance maps (SDMs) of the surfaces confined to some narrow band. By shrinking the narrow bands around the zero level sets the solution to the IR problem converges towards the S2SR problem. It is our hypothesis that this approach is more robust and less prone to fall into local minima than ordinary surface-to-surface registration. The IR problem is solved using the inverse compositional algorithm. In this paper, a set of 40 pelvic bones of Duroc pigs are registered to each other w.r.t. the Euclidean transformation with both the S2SR approach and iterative closest point approach, and the results are compared.

U2 - 10.1007/978-3-540-73040-8_79

DO - 10.1007/978-3-540-73040-8_79

M3 - Article in proceedings

SN - 978-3-540-73039-2

VL - 4522

SP - 780

EP - 788

BT - Lecture Notes in Computer Science

A2 - Ersbøll, Bjarne Kjær

A2 - Pedersen, Kim Steenstrup

PB - Springer

CY - Berlin / Heidelberg

ER -