Image fusion and registration -- a variational approach

B. Fischer; J. Modersitzki

doi:10.1007/3-540-31768-6_16

Image fusion and registration -- a variational approach

Institut für Mathematik

Abstract

Image fusion or registration is central to many challenges in medical imaging today and has a vast range of applications. The purpose of this paper is to give an introduction to intensity based non-linear registration and fusion problems from a variational point of view. To do so, we review some of the most promising non-linear registration strategies currently used in medical imaging and show that all these techniques may be phrased in terms of a variational problem and allow for a unified treatment.

Originalsprache	Englisch
Titel	Computational Science and High Performance Computing II
Redakteure/-innen	Egon Krause, Yurii Shokin, Michael Resch, Nina Shokina
Seitenumfang	11
Band	91
Erscheinungsort	Berlin, Heidelberg
Herausgeber (Verlag)	Springer Berlin Heidelberg
Erscheinungsdatum	01.03.2006
Seiten	193-203
ISBN (Print)	978-3-540-31767-8
ISBN (elektronisch)	978-3-540-31768-5
DOIs	https://doi.org/10.1007/3-540-31768-6_16
Publikationsstatus	Veröffentlicht - 01.03.2006
Veranstaltung	The 2nd Russian-German Advanced Research Workshop on Computational Science and High Performance Computing II - Stuttgart, Deutschland Dauer: 14.03.2005 → 16.03.2005

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Fischer, B., & Modersitzki, J. (2006). Image fusion and registration -- a variational approach. in E. Krause, Y. Shokin, M. Resch, & N. Shokina (Hrsg.), Computational Science and High Performance Computing II (Band 91, S. 193-203). ( Notes on Numerical Fluid Mechanics and Multidisciplinary Design; Band 91). Springer Berlin Heidelberg. https://doi.org/10.1007/3-540-31768-6_16

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abstract = "Image fusion or registration is central to many challenges in medical imaging today and has a vast range of applications. The purpose of this paper is to give an introduction to intensity based non-linear registration and fusion problems from a variational point of view. To do so, we review some of the most promising non-linear registration strategies currently used in medical imaging and show that all these techniques may be phrased in terms of a variational problem and allow for a unified treatment.",

author = "B. Fischer and J. Modersitzki",

year = "2006",

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editor = "Egon Krause and Yurii Shokin and Michael Resch and Nina Shokina",

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Fischer, B & Modersitzki, J 2006, Image fusion and registration -- a variational approach. in E Krause, Y Shokin, M Resch & N Shokina (Hrsg.), Computational Science and High Performance Computing II. Bd. 91, Notes on Numerical Fluid Mechanics and Multidisciplinary Design, Bd. 91, Springer Berlin Heidelberg, Berlin, Heidelberg, S. 193-203, The 2nd Russian-German Advanced Research Workshop on Computational Science and High Performance Computing II, Stuttgart, Baden-Württemberg, Deutschland, 14.03.05. https://doi.org/10.1007/3-540-31768-6_16

Image fusion and registration -- a variational approach. / Fischer, B.; Modersitzki, J.
Computational Science and High Performance Computing II. Hrsg. / Egon Krause; Yurii Shokin; Michael Resch; Nina Shokina. Band 91 Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. S. 193-203 ( Notes on Numerical Fluid Mechanics and Multidisciplinary Design; Band 91).

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

TY - GEN

T1 - Image fusion and registration -- a variational approach

AU - Fischer, B.

AU - Modersitzki, J.

PY - 2006/3/1

Y1 - 2006/3/1

N2 - Image fusion or registration is central to many challenges in medical imaging today and has a vast range of applications. The purpose of this paper is to give an introduction to intensity based non-linear registration and fusion problems from a variational point of view. To do so, we review some of the most promising non-linear registration strategies currently used in medical imaging and show that all these techniques may be phrased in terms of a variational problem and allow for a unified treatment.

AB - Image fusion or registration is central to many challenges in medical imaging today and has a vast range of applications. The purpose of this paper is to give an introduction to intensity based non-linear registration and fusion problems from a variational point of view. To do so, we review some of the most promising non-linear registration strategies currently used in medical imaging and show that all these techniques may be phrased in terms of a variational problem and allow for a unified treatment.

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U2 - 10.1007/3-540-31768-6_16

DO - 10.1007/3-540-31768-6_16

M3 - Conference contribution

SN - 978-3-540-31767-8

VL - 91

T3 - Notes on Numerical Fluid Mechanics and Multidisciplinary Design

SP - 193

EP - 203

BT - Computational Science and High Performance Computing II

A2 - Krause, Egon

A2 - Shokin, Yurii

A2 - Resch, Michael

A2 - Shokina, Nina

PB - Springer Berlin Heidelberg

CY - Berlin, Heidelberg

T2 - The 2nd Russian-German Advanced Research Workshop on Computational Science and High Performance Computing II

Y2 - 14 March 2005 through 16 March 2005

ER -

Image fusion and registration -- a variational approach

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