Tanner, C and Schnabel, JA and Degenhard, A and Castellano-Smith, AD and Hayes, C and Leach, MO and Hose, DR and Hill, DLG and Hawkes, DJ (2002) Validation of volume-preserving non-rigid registration: Application to contrast-Enhanced MR-mammography. In: Dohi, T and Kikinis, R, (eds.) Medical Image Computing and Computer-Assisted Intervention - MICCAI 2002: 5th International Conference Tokyo, Japan, September 25–28, 2002: Proceedings, Part I. (pp. 307 - 314). Springer-Verlag: Berlin / Heidelberg, Germany.
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In this paper, we present a validation study for volume preserving non-rigid 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.
|Title:||Validation of volume-preserving non-rigid registration: Application to contrast-Enhanced MR-mammography|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science > Computer Science|
UCL > School of BEAMS > Faculty of Engineering Science > Medical Physics and Bioengineering
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