Free-form registration using mutual information and curvature regularization

E. D'Agostino; J. Modersitzki; F. Maes; D. Vandermeulen; B. Fischer; P. Suetens

doi:10.1007/978-3-540-39701-4_2

Free-form registration using mutual information and curvature regularization

E. D'Agostino^*, J. Modersitzki, F. Maes, D. Vandermeulen, B. Fischer, P. Suetens

^*Korrespondierende/r Autor/-in für diese Arbeit

Institut für Mathematik

7 Zitate (Scopus)

Abstract

In this paper we present a novel 3-D free-form non-rigid registration algorithm which combines the mutual information similarity measure with a particular curvature based regularizer, which has been demonstrated to produce very satisfactory results in conjunction with the sum of squared differences distance measure. The method is evaluated for inter-subject MR brain image registration using simulated deformations and compared with a scheme that applies the same similarity measure but with a viscous fluid regularizer.

Originalsprache	Englisch
Zeitschrift	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Jahrgang	2717
Seiten (von - bis)	11-20
Seitenumfang	10
ISSN	0302-9743
DOIs	https://doi.org/10.1007/978-3-540-39701-4_2
Publikationsstatus	Veröffentlicht - 01.12.2003

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10.1007/978-3-540-39701-4_2

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Free-form registration using mutual information and curvature regularization. / D'Agostino, E.; Modersitzki, J.; Maes, F. et al.
in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Jahrgang 2717, 01.12.2003, S. 11-20.

Publikation: Beiträge in Fachzeitschriften › Zeitschriftenaufsätze › Forschung › Begutachtung

TY - JOUR

T1 - Free-form registration using mutual information and curvature regularization

AU - D'Agostino, E.

AU - Modersitzki, J.

AU - Maes, F.

AU - Vandermeulen, D.

AU - Fischer, B.

AU - Suetens, P.

PY - 2003/12/1

Y1 - 2003/12/1

N2 - In this paper we present a novel 3-D free-form non-rigid registration algorithm which combines the mutual information similarity measure with a particular curvature based regularizer, which has been demonstrated to produce very satisfactory results in conjunction with the sum of squared differences distance measure. The method is evaluated for inter-subject MR brain image registration using simulated deformations and compared with a scheme that applies the same similarity measure but with a viscous fluid regularizer.

AB - In this paper we present a novel 3-D free-form non-rigid registration algorithm which combines the mutual information similarity measure with a particular curvature based regularizer, which has been demonstrated to produce very satisfactory results in conjunction with the sum of squared differences distance measure. The method is evaluated for inter-subject MR brain image registration using simulated deformations and compared with a scheme that applies the same similarity measure but with a viscous fluid regularizer.

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DO - 10.1007/978-3-540-39701-4_2

M3 - Journal articles

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SN - 0302-9743

VL - 2717

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JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

ER -

Free-form registration using mutual information and curvature regularization

Abstract

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