Computed Tomography


Algorithms, Insight, and Just Enough Theory

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Edited by Per Christian Hansen, Jakob Sauer Jorgensen, William R. B. Lionheart, Contributions by Martin S. Andersen, K. Joost Batenburg, Yiqiu Dong, Eric Todd Quinto, Jan Sijbers
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SIAM - SOCIETY FOR INDUSTRIAL AND APPLIED
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Format:
PAPERBACK
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Weight:
330 g
Pages:
337

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Description

Per Christian Hansen is Professor of Scientific Computing at the Department of Applied Mathematics and Computer Science, Technical University of Denmark. He is a 2015 SIAM Fellow and a 2019 Villum Investigator. He currently heads a research initiative on computational uncertainty quantification for inverse problems. Jakob Sauer Jorgensen is a Senior Researcher at the Department of Applied Mathematics and Computer Science, Technical University of Denmark (DTU). He became a Presidential Fellow (academic tenure track) at the University of Manchester in 2018, before returning to DTU in 2020 in a permanent research-track academic position. William R. B. Lionheart is a Professor of Applied Mathematics at the University of Manchester. He works on analytical, numerical, and practical aspects of a wide range of imaging and inverse problems. His current work includes X-ray, electron and neutron tomography, increasingly rich tomography methods involving spectral, diffraction or polarimetric data to produce non-scalar 3D images. Martin S. Andersen has held a postdoctoral position in the Division of Automatic Control at Linkoeping University, Sweden, and at the Technical University of Denmark, where he is currently an Associate Professor in the Department of Applied Mathematics and Computer Science. His main research interests include optimization, signal and image processing, and systems and control. K. Joost Batenburg is Professor of Imaging and Visualization at the Leiden Institute of Advanced Computer Science (LIACS) and leads the Computational Imaging group at CWI, the national research center for mathematics and computer science in Amsterdam, The Netherlands. His current research focuses on creating a real-time tomography pipeline. Yiqiu Dong is Associate Professor at the Department of Applied Mathematics and Computer Science, Technical University of Denmark. Her research area includes mathematical modeling and algorithms in imaging sciences, inverse problems and variational methods, matrix application and computation, and optimization methods. Eric Todd Quinto is the Robinson Professor of Mathematics at Tufts University. When he started at Tufts, he met Nobel Prize winner Allan Cormack, who introduced Quinto to tomography. Quinto specializes in analyzing strengths and issues in limited data tomography-when some tomographic data are missing. Jan Sijbers is a full professor at the University of Antwerp, where he leads imec-Vision Lab, a research group on image reconstruction, processing and analysis. His main interests are in Magnetic Resonance Imaging and X-ray CT.

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