Learning optical flow for fast MRI reconstruction

DOI10.1088/1361-6420/ac164aOpenAlexW3018872390MaRDI QIDQ5006376

Angelica I. Aviles-Rivero, Noémie Debroux, Timothée Schmoderer, Carola-Bibiane Schönlieb, Veronica Corona

Publication date: 13 August 2021

Published in: Inverse Problems (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2004.10464

zbMATH Keywords

optical flowdictionary learningMRI reconstructionmulti-task model

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Machine vision and scene understanding (68T45)

Uses Software

• FlowNet
• PWC-Net

Cites Work

• A first-order primal-dual algorithm for convex problems with applications to imaging
• Lucas/Kanade meets Horn/Schunck: combining local and global optic flow methods
• Determining optical flow
• A Variational Model for Joint Motion Estimation and Image Reconstruction
• Stable signal recovery from incomplete and inaccurate measurements
• Computer Vision - ECCV 2004
• Compressed sensing
• Convergence of a block coordinate descent method for nondifferentiable minimization

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