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

Institute of Mathematics

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.

Original language	English
Title of host publication	Scale Space and PDE Methods in Computer Vision
Editors	Ron Kimmel, Nir A. Sochen, Joachim Weickert
Number of pages	12
Volume	3459
Place of Publication	Berlin, Heidelberg
Publisher	Springer Berlin Heidelberg
Publication date	01.04.2005
Pages	561-572
ISBN (Print)	978-3-540-25547-5
ISBN (Electronic)	978-3-540-32012-8
DOIs	https://doi.org/10.1007/11408031_48
Publication status	Published - 01.04.2005
Event	5th International Conference on Scale Space and PDE Methods in Computer Vision - Hofgeismar, Germany Duration: 07.04.2005 → 09.04.2005 Conference number: 65585

Access to Document

10.1007/11408031_48

Cite this

@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",

}

Haber, E & Modersitzki, J 2005, A Scale Space Method for Volume Preserving Image Registration. in R Kimmel, NA Sochen & J Weickert (eds), Scale Space and PDE Methods in Computer Vision. vol. 3459, Lecture Notes in Computer Science , vol. 3459, Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 561-572, 5th International Conference on Scale Space and PDE Methods in Computer Vision, Hofgeismar, Hesse, Germany, 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. ed. / Ron Kimmel; Nir A. Sochen; Joachim Weickert. Vol. 3459 Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. p. 561-572 ( Lecture Notes in Computer Science ; Vol. 3459).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

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.

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-24644506758&origin=inward&txGid=e51ab0597734c21e3d791437a85e4129

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

Access to Document

Other files and links

Fingerprint

Cite this