Principal Warps: Thin-Plate Splines and the Decomposition of Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Landmark-Based Image Analysis: Using Geometric and Intensity Models
Landmark-Based Image Analysis: Using Geometric and Intensity Models
Understanding the "Demon's Algorithm": 3D Non-rigid Registration by Gradient Descent
MICCAI '99 Proceedings of the Second International Conference on Medical Image Computing and Computer-Assisted Intervention
Non-parametric diffeomorphic image registration with the demons algorithm
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
A pyramid approach to subpixel registration based on intensity
IEEE Transactions on Image Processing
Computers in Biology and Medicine
Concepts for efficient and reliable multi-modal breast image reading
IWDM'10 Proceedings of the 10th international conference on Digital Mammography
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A novel method for the deformable image registration of follow-up breast magnetic resonance (MR) images is proposed, aimed at an automatic synchronization of temporal images. To compensate potentially large breast deformations and differences among device coordinates, an initial linear alignment of each individual breast, a combination of both transformations using thin-plate splines, as well as a subsequent linear-elastic registration are performed in sequence. Complementary to algorithmic details, an overview of modality-specific factors influencing follow-up registration accuracy is given. The proposed method was evaluated on 20 clinical datasets annotated with landmarks by an expert radiologist. Despite large variations among the MR images, accuracy of the method was sufficient to allow spatial synchronization, with remaining target registration errors of