ArticleMagnetic resonance in medicine2019
Symplectomorphic registration with phase space regularization by entropy spectrum pathways.
Article in Magnetic resonance in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Spatially resolved EEG reveals theta-band network modulation following iTBS in aging and mild cognitive impairment.Frontiers in human neuroscience · 2026Article
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- Imaging of brain electric field networks with spatially resolved EEG.Research square · 2025Article
- Diffusion MRI tractography of the locus coeruleus-transentorhinal cortex connections using GO-ESP.Magnetic resonance in medicine · 2022Article
- Brain Waves: Emergence of Localized, Persistent, Weakly Evanescent Cortical Loops.Journal of cognitive neuroscience · 2020Article
- JEDI: Joint Estimation Diffusion Imaging of macroscopic and microscopic tissue properties.Magnetic resonance in medicine · 2020Article
- Joint Estimation of Effective Brain Wave Activation Modes Using EEG/MEG Sensor Arrays and Multimodal MRI Volumes.Neural computation · 2018Article
- A Unified Theory of Neuro-MRI Data Shows Scale-Free Nature of Connectivity Modes.Neural computation · 2017Article
- Universal theory of brain waves: from linear loops to nonlinear synchronized spiking and collective brain rhythms.Physical review researchArticle
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Authors and funding
2 authors.
Funding
Abstract
purposeThe ability to register image data to a common coordinate system is a critical feature of virtually all imaging studies. However, in spite of the abundance of literature on the subject and the existence of several variants of registration algorithms, their practical utility remains problematic, as commonly acknowledged even by developers of these methods.
methodsA new registration method is presented that utilizes a Hamiltonian formalism and constructs registration as a sequence of symplectomorphic maps in conjunction with a novel phase space regularization. For validation of the framework a panel of deformations expressed in analytical form is developed that includes deformations based on known physical processes in MRI and reproduces various distortions and artifacts typically present in images collected using these different MRI modalities.
resultsThe method is demonstrated on the three different magnetic resonance imaging (MRI) modalities by mapping between high resolution anatomical (HRA) volumes, medium resolution diffusion weighted MRI (DW-MRI) and HRA volumes, and low resolution functional MRI (fMRI) and HRA volumes.
conclusionsThe method has shown an excellent performance and the panel of deformations was instrumental to quantify its repeatability and reproducibility in comparison to several available alternative approaches.
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