Journal article · Preprint article
Core Imaging Library - Part II: multichannel reconstruction for dynamic and spectral tomography
University of Manchester1
Karlsruhe Institute of Technology2
University of Bath3
Rutherford Appleton Laboratory4
Scientific Computing, Department of Applied Mathematics and Computer Science, Technical University of Denmark5
Department of Applied Mathematics and Computer Science, Technical University of Denmark6
Technical University of Denmark7
The newly developed core imaging library (CIL) is a flexible plug and play library for tomographic imaging with a specific focus on iterative reconstruction. CIL provides building blocks for tailored regularized reconstruction algorithms and explicitly supports multichannel tomographic data. In the first part of this two-part publication, we introduced the fundamentals of CIL.
This paper focuses on applications of CIL for multichannel data, e.g. dynamic and spectral. We formalize different optimization problems for colour processing, dynamic and hyperspectral tomography and demonstrate CIL's capabilities for designing state-of-the-art reconstruction methods through case studies and code snapshots.
This article is part of the theme issue 'Synergistic tomographic image reconstruction: part 2'.
| Language: | English |
|---|---|
| Publisher: | The Royal Society Publishing |
| Year: | 2021 |
| Pages: | 20200193 |
| ISSN: | 14712962 and 1364503x |
| Types: | Journal article and Preprint article |
| DOI: | 10.1098/rsta.2020.0193 |
| ORCIDs: | Jørgensen, Jakob Sauer , 0000-0001-6957-2160 , 0000-0002-8867-3001 , 0000-0001-7483-0419 , 0000-0003-2388-5211 , 0000-0003-0117-8049 , 0000-0002-7904-0560 , 0000-0003-0971-4678 and 0000-0002-1946-5647 |
Computed tomography Inverse problems Iterative reconstruction Magnetic resonance imaging (MRI) Materials science Positron emission tomography (PET) Sparse CT X-ray CT
65F10 65K10 65R32 Algorithms Databases, Factual Humans Phantoms, Imaging Radiographic Image Interpretation, Computer-Assisted Software Spatio-Temporal Analysis Tomography, X-Ray Computed computed tomography cs.MS inverse problems iterative reconstruction magnetic resonance imaging (MRI) materials science math.OC physics.med-ph positron emission tomography (PET) sparse CT
