Deformations incorporating rigid structures
Computer Vision and Image Understanding
Fast Fluid Registration of Medical Images
VBC '96 Proceedings of the 4th International Conference on Visualization in Biomedical Computing
A two-dimensional interpolation function for irregularly-spaced data
ACM '68 Proceedings of the 1968 23rd ACM national conference
Methods for inverting dense displacement fields: evaluation in brain image registration
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Free-Form Deformations Using Adaptive Control Point Status for Whole Heart MR Segmentation
FIMH '09 Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart
Unifying Encoding of Spatial Information in Mutual Information for Nonrigid Registration
IPMI '09 Proceedings of the 21st International Conference on Information Processing in Medical Imaging
Left Ventricle Segmentation via Graph Cut Distribution Matching
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Spatial information encoded mutual information for nonrigid registration
WBIR'10 Proceedings of the 4th international conference on Biomedical image registration
Whole heart segmentation of cardiac MRI using multiple path propagation strategy
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I
Automatic cardiac MRI segmentation using a biventricular deformable medial model
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I
FIMH'11 Proceedings of the 6th international conference on Functional imaging and modeling of the heart
FIMH'11 Proceedings of the 6th international conference on Functional imaging and modeling of the heart
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In this paper, we present a novel registration algorithm for locally affine registrations. This method preserves the anatomical and intensity class relationships between the local regions. A regularisation procedure is used to maintain a global diffeomorphic transformation. Combined with a novel generic method for accurately inverting the final deformation field, we include our techniques within an atlas-based segmentation propagation framework. We applied our method to automatically segment the whole heart from cardiac magnetic resonance images from a cohort of 18 volunteers (acquisition resolution 2 × 2 × 2 mm). The results show that the proposed method provides a robust initialisation for the atlas-based segmentation propagation framework refined with a fluid registration. We validated our approach against other registration strategies, and demonstrated that we improved the accuracy of the whole heart segmentations (1.8 ± 0.42 mm).