A New Variational Model for Joint Image Reconstruction and Motion Estimation in Spatiotemporal Imaging

DOI10.1137/18M1234047zbMath1434.68585arXiv1812.03446OpenAlexW2904398937WikidataQ127013371 ScholiaQ127013371MaRDI QIDQ5109269

Chong Chen, Barbara Gris, Ozan Öktem

Publication date: 11 May 2020

Published in: SIAM Journal on Imaging Sciences (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1812.03446

zbMATH Keywords

image reconstructionshape theorymotion estimationjoint variational modellarge diffeomorphic deformationsspatio-temporal imaging

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Numerical aspects of computer graphics, image analysis, and computational geometry (65D18) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Machine vision and scene understanding (68T45)

Related Items (10)

Task adapted reconstruction for inverse problems ⋮ An efficient algorithm to compute the X-ray transform ⋮ Using the Navier-Cauchy equation for motion estimation in dynamic imaging ⋮ Template-based CT reconstruction with optimal transport and total generalized variation ⋮ Fast MRI Reconstruction via Edge Attention ⋮ Inverse problems with inexact forward operator: iterative regularization and application in dynamic imaging ⋮ Image reconstruction through metamorphosis ⋮ Motion Compensation Strategies in Tomography ⋮ Spatiotemporal imaging with diffeomorphic optimal transportation ⋮ Diffeomorphic Image Registration with an Optimal Control Relaxation and Its Implementation

Uses Software

• LDDMM

Cites Work

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