Beyond Mutual Information: A Simple and Robust Alternative

Eldad Haber; Jan Modersitzki

doi:10.1007/3-540-26431-0_72

Beyond Mutual Information: A Simple and Robust Alternative

Institute of Mathematics

Abstract

One of the remaining challenges in image registration arises for multi-modal images taken from different imaging devices and/or modalities. Starting in 1995, mutual information has shown to be a very successful distance measure for multi-modal image registration. However, as it is well-known, mutual information also has a number of drawbacks. Here, we present an alternative image similarity measure which is also capable to handle multi-modal images but better suited for optimization. As we show, the alternative normalized gradient based approach is deterministic, much simpler, easier to interpret, fast and straightforward to implement, faster to compute, and also much more suitable to optimization.

Original language	English
Title of host publication	Bildverarbeitung für die Medizin 2005
Editors	Hans-Peter Meinzer, Heinz Handels, Alexander Horsch, Thomas Tolxdorff
Number of pages	5
Place of Publication	Berlin, Heidelberg
Publisher	Springer Berlin Heidelberg
Publication date	01.03.2005
Pages	350-354
ISBN (Print)	978-3-540-25052-4
ISBN (Electronic)	978-3-540-26431-6
DOIs	https://doi.org/10.1007/3-540-26431-0_72
Publication status	Published - 01.03.2005
Event	Workshops Bildverarbeitung fur die Medizin 2005 - Heidelberg, Germany Duration: 13.03.2005 → 15.03.2005 Conference number: 97569

Access to Document

10.1007/3-540-26431-0_72

Cite this

@inproceedings{d50a9dcd6a7440db977b909dabe7da24,

title = "Beyond Mutual Information: A Simple and Robust Alternative",

abstract = "One of the remaining challenges in image registration arises for multi-modal images taken from different imaging devices and/or modalities. Starting in 1995, mutual information has shown to be a very successful distance measure for multi-modal image registration. However, as it is well-known, mutual information also has a number of drawbacks. Here, we present an alternative image similarity measure which is also capable to handle multi-modal images but better suited for optimization. As we show, the alternative normalized gradient based approach is deterministic, much simpler, easier to interpret, fast and straightforward to implement, faster to compute, and also much more suitable to optimization.",

author = "Eldad Haber and Jan Modersitzki",

year = "2005",

month = mar,

day = "1",

doi = "10.1007/3-540-26431-0_72",

language = "English",

isbn = "978-3-540-25052-4",

series = " Informatik aktuell",

publisher = "Springer Berlin Heidelberg",

pages = "350--354",

editor = "Hans-Peter Meinzer and Heinz Handels and Alexander Horsch and Thomas Tolxdorff",

booktitle = "Bildverarbeitung f{\"u}r die Medizin 2005",

note = "Workshops Bildverarbeitung fur die Medizin 2005 , BVM 2005 ; Conference date: 13-03-2005 Through 15-03-2005",

}

Haber, E & Modersitzki, J 2005, Beyond Mutual Information: A Simple and Robust Alternative. in H-P Meinzer, H Handels, A Horsch & T Tolxdorff (eds), Bildverarbeitung für die Medizin 2005. Informatik aktuell, Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 350-354, Workshops Bildverarbeitung fur die Medizin 2005 , Heidelberg, Baden-Württemberg, Germany, 13.03.05. https://doi.org/10.1007/3-540-26431-0_72

Beyond Mutual Information: A Simple and Robust Alternative. / Haber, Eldad; Modersitzki, Jan.
Bildverarbeitung für die Medizin 2005. ed. / Hans-Peter Meinzer; Heinz Handels; Alexander Horsch; Thomas Tolxdorff. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. p. 350-354 ( Informatik aktuell).

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

TY - GEN

T1 - Beyond Mutual Information: A Simple and Robust Alternative

AU - Haber, Eldad

AU - Modersitzki, Jan

N1 - Conference code: 97569

PY - 2005/3/1

Y1 - 2005/3/1

N2 - One of the remaining challenges in image registration arises for multi-modal images taken from different imaging devices and/or modalities. Starting in 1995, mutual information has shown to be a very successful distance measure for multi-modal image registration. However, as it is well-known, mutual information also has a number of drawbacks. Here, we present an alternative image similarity measure which is also capable to handle multi-modal images but better suited for optimization. As we show, the alternative normalized gradient based approach is deterministic, much simpler, easier to interpret, fast and straightforward to implement, faster to compute, and also much more suitable to optimization.

AB - One of the remaining challenges in image registration arises for multi-modal images taken from different imaging devices and/or modalities. Starting in 1995, mutual information has shown to be a very successful distance measure for multi-modal image registration. However, as it is well-known, mutual information also has a number of drawbacks. Here, we present an alternative image similarity measure which is also capable to handle multi-modal images but better suited for optimization. As we show, the alternative normalized gradient based approach is deterministic, much simpler, easier to interpret, fast and straightforward to implement, faster to compute, and also much more suitable to optimization.

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-84879925404&origin=inward&txGid=7f55f98d36c7ecc09efac756d22af74c

U2 - 10.1007/3-540-26431-0_72

DO - 10.1007/3-540-26431-0_72

M3 - Conference contribution

SN - 978-3-540-25052-4

T3 - Informatik aktuell

SP - 350

EP - 354

BT - Bildverarbeitung für die Medizin 2005

A2 - Meinzer, Hans-Peter

A2 - Handels, Heinz

A2 - Horsch, Alexander

A2 - Tolxdorff, Thomas

PB - Springer Berlin Heidelberg

CY - Berlin, Heidelberg

T2 - Workshops Bildverarbeitung fur die Medizin 2005

Y2 - 13 March 2005 through 15 March 2005

ER -

Beyond Mutual Information: A Simple and Robust Alternative

Abstract

Access to Document

Other files and links

Fingerprint

Cite this