Image registration by maximization of combined mutual information and gradient information

J.P.W. Pluim, J.B.A. (Antoine) Maintz, M.A. Viergever

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

69 Citations (Scopus)

Abstract

Despite generally good performance, mutual information has also been shown by several researchers to lack robustness for certain registration problems. A possible cause may be the absence of spatial information in the measure. The present paper proposes to include spatial information by combining mutual information with a term based on the image gradient of the images to be registered. The gradient term not only seeks to align locations of high gradient magnitude, but also aims for a similar orientation of the gradients at these locations. Results of combining both standard mutual information as well a normalized measure are presented for rigid registration of three-dimensional clinical images (MR, CT and PET). The results indicate that the combined measures yield a better registration function than mutual information or normalized mutual information per se. The accuracy of the combined measures is compared against a screw marker based gold standard, revealing a similar accuracy for the combined measures to that of the standard measures. Experiments into the robustness of the measures with respect to starting position imply a clear improvement in robustness for the measures including spatial information.

Original languageEnglish
Title of host publicationImage Registration by Maximization of Combined Mutual Information and Gradient Information
Subtitle of host publicationThird International Conference, Pittsburgh, PA, USA, October 11-14, 2000. Proceedings
EditorsS.L. Delp, A.M. DiGoa, B. Jaramaz
Place of PublicationBerlin
PublisherSpringer
Pages452-461
Number of pages10
ISBN (Print)3540411895, 9783540411895
DOIs
Publication statusPublished - 2000
Externally publishedYes
Event3rd International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2000), October 11-14, 2000, Pittsburgh, PA, USA - Pittsburgh, PA, United States
Duration: 11 Oct 200014 Oct 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1935
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference3rd International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2000), October 11-14, 2000, Pittsburgh, PA, USA
Abbreviated titleMICCAI 2000
CountryUnited States
CityPittsburgh, PA
Period11/10/0014/10/00

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