Non-rigid registration of breast MR images using mutual information

D. Rueckert, C. Hayes, C. Studholme, P. Summers, M. Leach, D. J. Hawkes

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

77 Scopus citations

Abstract

We present a new approach for the non-rigid registration of contrast-enhanced breast MRI using normalised mutual information. A hierarchical transformation model of the motion of the breast has been developed: The global motion of the breast is modelled using affine transformation models while the local motion of the breast is modelled using spline-based free-form deformation (FFD) models. The algorithm has been applied to the fully automated registration of 3D breast MRI. In particular, we have compared the results of the proposed nonrigid registration algorithm to those obtained using rigid and affine registration techniques. The results clearly indicate that the non-rigid registration algorithm is much better able to recover the motion and deformation of the breast than rigid or affine registration algorithms.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention ─ MICCAI 1998 - 1st International Conference, Proceedings
EditorsWilliam M. Wells, Alan Colchester, Scott Delp
PublisherSpringer Verlag
Pages1144-1152
Number of pages9
ISBN (Print)3540651365, 9783540651369
DOIs
StatePublished - 1998
Externally publishedYes
Event1st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1998 - Cambridge, United States
Duration: 11 Oct 199813 Oct 1998

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1496
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1998
Country/TerritoryUnited States
CityCambridge
Period11/10/9813/10/98

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