A Scale Space Method for Volume Preserving Image Registration

Eldad Haber; Jan Modersitzki

doi:10.1007/11408031_48

A Scale Space Method for Volume Preserving Image Registration

Institut für Mathematik

Abstract

Image registration is an inherently ill-posed problem. Therefore one typically aims to provide as much information about the underlying application as possible. In particular for tumor monitoring, volume preservation of the wanted deformation is a central point. Based on [9], we propose a new scale space approach to volume preserving image registration. The main advantage of the new approach is that the constraints appear linearly and therefore the system matrices resembles Stokes matrices, which appears in computational fluid dynamics.

Originalsprache	Englisch
Titel	Scale Space and PDE Methods in Computer Vision
Redakteure/-innen	Ron Kimmel, Nir A. Sochen, Joachim Weickert
Seitenumfang	12
Band	3459
Erscheinungsort	Berlin, Heidelberg
Herausgeber (Verlag)	Springer Berlin Heidelberg
Erscheinungsdatum	01.04.2005
Seiten	561-572
ISBN (Print)	978-3-540-25547-5
ISBN (elektronisch)	978-3-540-32012-8
DOIs	https://doi.org/10.1007/11408031_48
Publikationsstatus	Veröffentlicht - 01.04.2005
Veranstaltung	5th International Conference on Scale Space and PDE Methods in Computer Vision - Hofgeismar, Deutschland Dauer: 07.04.2005 → 09.04.2005 Konferenznummer: 65585

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@inproceedings{153f302c80bb441da2bc3a53fb7d1cd6,

title = "A Scale Space Method for Volume Preserving Image Registration",

abstract = "Image registration is an inherently ill-posed problem. Therefore one typically aims to provide as much information about the underlying application as possible. In particular for tumor monitoring, volume preservation of the wanted deformation is a central point. Based on [9], we propose a new scale space approach to volume preserving image registration. The main advantage of the new approach is that the constraints appear linearly and therefore the system matrices resembles Stokes matrices, which appears in computational fluid dynamics.",

author = "Eldad Haber and Jan Modersitzki",

year = "2005",

month = apr,

day = "1",

doi = "10.1007/11408031_48",

language = "English",

isbn = "978-3-540-25547-5",

volume = "3459",

series = " Lecture Notes in Computer Science ",

publisher = "Springer Berlin Heidelberg",

pages = "561--572",

editor = "Ron Kimmel and Sochen, {Nir A.} and Joachim Weickert",

booktitle = "Scale Space and PDE Methods in Computer Vision",

note = "5th International Conference on Scale Space and PDE Methods in Computer Vision, Scale-Space 2005 ; Conference date: 07-04-2005 Through 09-04-2005",

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Haber, E & Modersitzki, J 2005, A Scale Space Method for Volume Preserving Image Registration. in R Kimmel, NA Sochen & J Weickert (Hrsg.), Scale Space and PDE Methods in Computer Vision. Bd. 3459, Lecture Notes in Computer Science , Bd. 3459, Springer Berlin Heidelberg, Berlin, Heidelberg, S. 561-572, 5th International Conference on Scale Space and PDE Methods in Computer Vision, Hofgeismar, Hessen, Deutschland, 07.04.05. https://doi.org/10.1007/11408031_48

A Scale Space Method for Volume Preserving Image Registration. / Haber, Eldad; Modersitzki, Jan.
Scale Space and PDE Methods in Computer Vision. Hrsg. / Ron Kimmel; Nir A. Sochen; Joachim Weickert. Band 3459 Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. S. 561-572 ( Lecture Notes in Computer Science ; Band 3459).

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

TY - GEN

T1 - A Scale Space Method for Volume Preserving Image Registration

AU - Haber, Eldad

AU - Modersitzki, Jan

N1 - Conference code: 65585

PY - 2005/4/1

Y1 - 2005/4/1

N2 - Image registration is an inherently ill-posed problem. Therefore one typically aims to provide as much information about the underlying application as possible. In particular for tumor monitoring, volume preservation of the wanted deformation is a central point. Based on [9], we propose a new scale space approach to volume preserving image registration. The main advantage of the new approach is that the constraints appear linearly and therefore the system matrices resembles Stokes matrices, which appears in computational fluid dynamics.

AB - Image registration is an inherently ill-posed problem. Therefore one typically aims to provide as much information about the underlying application as possible. In particular for tumor monitoring, volume preservation of the wanted deformation is a central point. Based on [9], we propose a new scale space approach to volume preserving image registration. The main advantage of the new approach is that the constraints appear linearly and therefore the system matrices resembles Stokes matrices, which appears in computational fluid dynamics.

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U2 - 10.1007/11408031_48

DO - 10.1007/11408031_48

M3 - Conference contribution

SN - 978-3-540-25547-5

VL - 3459

T3 - Lecture Notes in Computer Science

SP - 561

EP - 572

BT - Scale Space and PDE Methods in Computer Vision

A2 - Kimmel, Ron

A2 - Sochen, Nir A.

A2 - Weickert, Joachim

PB - Springer Berlin Heidelberg

CY - Berlin, Heidelberg

T2 - 5th International Conference on Scale Space and PDE Methods in Computer Vision

Y2 - 7 April 2005 through 9 April 2005

ER -

A Scale Space Method for Volume Preserving Image Registration

Abstract

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