Validation of volume-preserving non-rigid registration: Application to contrast-enhanced Mr-mammography

C. Tanner, J. A. Schnabel, A. Degenhard, A. D. Castellano-Smith, C. Hayes, M. O. Leach, D. R. Hose, D. L.G. Hill, D. J. Hawkes

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

31 Scopus citations

Abstract

In this paper, we present a validation study for volume preserving nonrigid registration of 3D contrast-enhanced magnetic resonance mammograms. This study allows for the first time to assess the effectiveness of a volume preserving constraint to improve registration accuracy in this context. The validation is based on the simulation of physically plausible breast deformations with biomechanical breast models (BBMs) employing finite element methods. We constructed BBMs for four patients with four different deformation scenarios each. These deformations were applied to the post-contrast image to simulate patient motion occurring between pre- and post-contrast image acquisition. The original pre-contrast images were registered to the corresponding BBM-deformed post-contrast images. We assessed the accuracy of two optimisation schemes of a non-rigid registration algorithm. The first solely aims to improve the similarity of the images while the second includes the minimisation of volume changes as another objective. We observed reductions in residual registration error at every resolution when constraining the registration to preserve volume.Within the contrast enhancing lesion, the best results were obtained with a control point spacing of 20mm, resulting in target registration errors below 0.5mm on average. This study forms an important milestone in making the non-rigid registration framework applicable for clinical routine use.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2002 - 5th International Conference, Proceedings
EditorsTakeyoshi Dohi, Ron Kikinis
PublisherSpringer Verlag
Pages307-314
Number of pages8
ISBN (Print)9783540457862
DOIs
StatePublished - 2002
Externally publishedYes
Event5th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002 - Tokyo, Japan
Duration: 25 Sep 200228 Sep 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2488
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2002
Country/TerritoryJapan
CityTokyo
Period25/09/0228/09/02

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