Alignment by Maximization of Mutual Information
International Journal of Computer Vision
Image Metamorphosis with Scattered Feature Constraints
IEEE Transactions on Visualization and Computer Graphics
Scattered Data Interpolation with Multilevel B-Splines
IEEE Transactions on Visualization and Computer Graphics
A Demons Algorithm for Image Registration with Locally Adaptive Regularization
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Abdominal images non-rigid registration using local-affine diffeomorphic demons
MICCAI'11 Proceedings of the Third international conference on Abdominal Imaging: computational and Clinical Applications
Sliding geometries in deformable image registration
MICCAI'11 Proceedings of the Third international conference on Abdominal Imaging: computational and Clinical Applications
Discontinuity preserving registration of abdominal MR images with apparent sliding organ motion
MICCAI'11 Proceedings of the Third international conference on Abdominal Imaging: computational and Clinical Applications
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The non-rigid registration of abdominal images is still a big challenge due to the breathing motion. Indeed, the sliding between the abdominal wall and the abdominal viscera makes the local deformation field discontinuous; it means that the classical registration approach, which assumes a smooth global deformation field cannot provide accurate and clinical-required results. Other new approaches intend to add in regularization a term to allow discontinuous deformation field near sliding boundary, however, the performance of such approaches needs to be further evaluated. We propose a new approach to perform abdominal image registration including a priori knowledge of the sliding area. Our strategy is to firstly delineate the abdominal wall in source and target images and create new images containing viscera only. Then a state-of-the-art non-rigid registration algorithm is adopted for the registration of the viscera region. In this paper, we firstly show why and how a quick interactive delineation of the full abdominal wall (AW) can be performed using B-spline interpolation. Secondly, we evaluate our registration approach on arterial and venous phase CT images. The results of our approach are compared to the one obtained using the same algorithm with the same parameters on the original data (without segmentation). The registration errors (mean ± SD) with our approach are: liver (1.94 ± 2.76 mm), left kidney (0.38 ± 0.66 mm), right kidney (0.42 ± 0.82 mm), spleen (4.15 ± 3.68 mm), which is much better than the registration result without segmentation: liver (6.48 ± 10.00 mm), left kidney (3.14 ± 3.39 mm), right kidney (2.79 ± 3.12 mm), spleen (17.45 ± 12.39 mm). The results clearly demonstrate our approach is a promising method to remove the sliding motion effect on the non-rigid registration of abdominal images.