Employing temporal self-similarity across the entire time domain in computed tomography reconstruction

DOI10.1098/rsta.2014.0389zbMath1353.68285OpenAlexW2282592646WikidataQ30649089 ScholiaQ30649089MaRDI QIDQ2955774

William R. B. Lionheart, Daniil Kazantsev, R. Atwood, S. A. McDonald, Peter D. Lee, Philip J. Withers, Katherine J. Dobson, Geert Van Eyndhoven

Publication date: 13 January 2017

Published in: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1098/rsta.2014.0389

Mathematics Subject Classification ID

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

Related Items (2)

Review of Image Similarity Measures for Joint Image Reconstruction from Multiple Measurements ⋮ New iterative reconstruction methods for fan-beam tomography

Cites Work

• Nonlinear total variation based noise removal algorithms
• 4D-CT reconstruction with unified spatial-temporal patch-based regularization
• Image recovery via nonlocal operators
• Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction
• Inverse problems with structural prior information
• Region-Based Iterative Reconstruction of Structurally Changing Objects in CT
• A novel technique to incorporate structural prior information into multi-modal tomographic reconstruction

This page was built for publication: Employing temporal self-similarity across the entire time domain in computed tomography reconstruction