The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics
The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics
Analysis and Synthesis of Facial Image Sequences Using Physical and Anatomical Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Validation of Non-rigid Registration Using Finite Element Methods
IPMI '01 Proceedings of the 17th International Conference on Information Processing in Medical Imaging
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
A Method for the Comparison of Biomechanical Breast Models
MMBIA '01 Proceedings of the IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA'01)
Efficient hyperelastic regularization for registration
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Tracer kinetic model-driven registration for dynamic contrast enhanced MRI time series
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
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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.