Volume Preserving Image Registration

Eldad Haber; Jan Modersitzki

doi:10.1007/978-3-540-30135-6_72

Volume Preserving Image Registration

Eldad Haber, Jan Modersitzki

Institut für Mathematik

11 Zitate (Scopus)

Abstract

In this paper we discuss image registration techniques with a focus on volume preserving constraints. These constraints can reduce the non-uniqueness of the registration problem significantly. Our implementation is based on a constrained optimization formulation. To solve the problem we use a variant of the Sequential Quadratic Programming method. Moreover, we present results on synthetic as well as on real-life data.

Originalsprache	Englisch
Titel	Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004
Redakteure/-innen	Christian Barillot, David R. Haynor, Pierre Hellier
Seitenumfang	8
Band	3216
Erscheinungsort	Berlin, Heidelberg
Herausgeber (Verlag)	Springer Berlin Heidelberg
Erscheinungsdatum	01.09.2004
Seiten	591-598
ISBN (Print)	978-3-540-22976-6
ISBN (elektronisch)	978-3-540-30135-6
DOIs	https://doi.org/10.1007/978-3-540-30135-6_72
Publikationsstatus	Veröffentlicht - 01.09.2004
Veranstaltung	7th International Conference on Medical Image Computing and Computer-Assisted Intervention - Saint-Malo, Frankreich Dauer: 26.09.2004 → 29.09.2004 Konferenznummer: 64990

Dokumente

10.1007/978-3-540-30135-6_72

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https://www.scopus.com/pages/publications/20444403352

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title = "Volume Preserving Image Registration",

abstract = "In this paper we discuss image registration techniques with a focus on volume preserving constraints. These constraints can reduce the non-uniqueness of the registration problem significantly. Our implementation is based on a constrained optimization formulation. To solve the problem we use a variant of the Sequential Quadratic Programming method. Moreover, we present results on synthetic as well as on real-life data.",

author = "Eldad Haber and Jan Modersitzki",

year = "2004",

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doi = "10.1007/978-3-540-30135-6\_72",

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editor = "Christian Barillot and Haynor, \{David R.\} and Pierre Hellier",

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note = " 7th International Conference on Medical Image Computing and Computer-Assisted Intervention , MICCAI 2004 ; Conference date: 26-09-2004 Through 29-09-2004",

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Haber, E & Modersitzki, J 2004, Volume Preserving Image Registration. in C Barillot, DR Haynor & P Hellier (Hrsg.), Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004. Bd. 3216, Lecture Notes in Computer Science, Bd. 3216, Springer Berlin Heidelberg, Berlin, Heidelberg, S. 591-598, 7th International Conference on Medical Image Computing and Computer-Assisted Intervention , Saint-Malo, Frankreich, 26.09.04. https://doi.org/10.1007/978-3-540-30135-6_72

Volume Preserving Image Registration. / Haber, Eldad; Modersitzki, Jan.
Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004. Hrsg. / Christian Barillot; David R. Haynor; Pierre Hellier. Band 3216 Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. S. 591-598 (Lecture Notes in Computer Science; Band 3216).

Publikation: Kapitel in Büchern/Berichten/Konferenzbänden › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Volume Preserving Image Registration

AU - Haber, Eldad

AU - Modersitzki, Jan

N1 - Conference code: 64990

PY - 2004/9/1

Y1 - 2004/9/1

N2 - In this paper we discuss image registration techniques with a focus on volume preserving constraints. These constraints can reduce the non-uniqueness of the registration problem significantly. Our implementation is based on a constrained optimization formulation. To solve the problem we use a variant of the Sequential Quadratic Programming method. Moreover, we present results on synthetic as well as on real-life data.

AB - In this paper we discuss image registration techniques with a focus on volume preserving constraints. These constraints can reduce the non-uniqueness of the registration problem significantly. Our implementation is based on a constrained optimization formulation. To solve the problem we use a variant of the Sequential Quadratic Programming method. Moreover, we present results on synthetic as well as on real-life data.

UR - https://www.scopus.com/pages/publications/20444403352

U2 - 10.1007/978-3-540-30135-6_72

DO - 10.1007/978-3-540-30135-6_72

M3 - Conference contribution

SN - 978-3-540-22976-6

VL - 3216

T3 - Lecture Notes in Computer Science

SP - 591

EP - 598

BT - Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2004

A2 - Barillot, Christian

A2 - Haynor, David R.

A2 - Hellier, Pierre

PB - Springer Berlin Heidelberg

CY - Berlin, Heidelberg

T2 - 7th International Conference on Medical Image Computing and Computer-Assisted Intervention

Y2 - 26 September 2004 through 29 September 2004

ER -

Volume Preserving Image Registration

Abstract

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