ArticleFrontiers in neuroscience2015
Robust estimation of group-wise cortical correspondence with an application to macaque and human neuroimaging studies.
Article in Frontiers in neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Leveraging Input-Level Feature Deformation With Guided-Attention for Sulcal Labeling.IEEE transactions on medical imaging · 2025Article
- Hierarchical particle optimization for cortical shape correspondence in temporal lobe resection.Computers in biology and medicine · 2023Article
- Statistical shape analysis of the tricuspid valve in hypoplastic left heart sydrome.Statistical atlases and computational models of the heart. STACOM (Workshop) · 2022Article
- Labeling lateral prefrontal sulci using spherical data augmentation and context-aware training.NeuroImage · 2021Article
- Establishing Surface Correspondence for Post-surgical Cortical Thickness Changes in Temporal Lobe Epilepsy.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
- Validation of Group-wise Registration for Surface-based Functional MRI Analysis.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
- Registration quality filtering improves robustness of voxel-wise analyses to the choice of brain template.NeuroImage · 2021Article
- Hierarchical spherical deformation for cortical surface registration.Medical image analysis · 2019Article
- Improving human cortical sulcal curve labeling in large scale cross-sectional MRI using deep neural networks.Journal of neuroscience methods · 2019Article
- Hierarchical Spherical Deformation for Shape Correspondence.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2018Article
- SlicerSALT: Shape AnaLysis Toolbox.Shape in medical imaging : International Workshop, ShapeMI 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 20, 2018 : proceedings. ShapeMI (Workshop) (2018 : Granada, Spain) · 2018Article
- A cortical shape-adaptive approach to local gyrification index.Medical image analysis · 2018Article
- TRACE: A Topological Graph Representation for Automatic Sulcal Curve Extraction.IEEE transactions on medical imaging · 2018Article
- Group-wise Shape Correspondence of Variable and Complex Objects.Proceedings of SPIE--the International Society for Optical Engineering · 2018Article
- Constructing Statistically Unbiased Cortical Surface Templates Using Feature-Space Covariance.Proceedings of SPIE--the International Society for Optical Engineering · 2018Article
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9 authors.
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Abstract
We present a novel group-wise registration method for cortical correspondence for local cortical thickness analysis in human and non-human primate neuroimaging studies. The proposed method is based on our earlier template based registration that estimates a continuous, smooth deformation field via sulcal curve-constrained registration employing spherical harmonic decomposition of the deformation field. This pairwise registration though results in a well-known template selection bias, which we aim to overcome here via a group-wise approach. We propose the use of an unbiased ensemble entropy minimization following the use of the pairwise registration as an initialization. An individual deformation field is then iteratively updated onto the unbiased average. For the optimization, we use metrics specific for cortical correspondence though all of these are straightforwardly extendable to the generic setting: The first focused on optimizing the correspondence of automatically extracted sulcal landmarks and the second on that of sulcal depth property maps. We further propose a robust entropy metric and a hierarchical optimization by employing spherical harmonic basis orthogonality. We also provide the detailed methodological description of both our earlier work and the proposed method with a set of experiments on a population of human and non-human primate subjects. In the experiment, we have shown that our method achieves superior results on consistency through quantitative and visual comparisons as compared to the existing methods.
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