Core Imaging Library -- Part II: Multichannel reconstruction for dynamic and spectral tomography

Autor: William R. B. Lionheart, Martin Turner, Edoardo Pasca, Claire Delplancke, Evangelos Papoutsellis, Philip J. Withers, Gemma Fardell, Jakob Sauer Jørgensen, Evelina Ametova, Ryan Warr
Jazyk: angličtina
Rok vydání: 2021
Předmět:
FOS: Computer and information sciences
Technology
iterative reconstruction
magnetic resonance imaging (MRI)
materials science
Databases
Factual
General Physics and Astronomy
Computed tomography
02 engineering and technology
030218 nuclear medicine & medical imaging
0302 clinical medicine
Computer graphics (images)
0202 electrical engineering
electronic engineering
information engineering
positron emission tomography (PET)
Mathematics - Optimization and Control
65K10
65R32
65F10
Research Articles
medicine.diagnostic_test
inverse problems
Phantoms
Imaging
General Engineering
Articles
Inverse problem
Core (optical fiber)
Radiographic Image Interpretation
Computer-Assisted
020201 artificial intelligence & image processing
Tomography
Algorithms
Plug and play
General Mathematics
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
FOS: Physical sciences
Iterative reconstruction
03 medical and health sciences
Spatio-Temporal Analysis
FOS: Mathematics
medicine
Humans
Tomographic reconstruction
X-ray CT
computed tomography
Physics - Medical Physics
Optimization and Control (math.OC)
sparse CT
Computer Science - Mathematical Software
Medical Physics (physics.med-ph)
Focus (optics)
Tomography
X-Ray Computed
Mathematical Software (cs.MS)
ddc:600
Software
Zdroj: Philosophical Transactions of the Royal Society a-Mathematical Physical and Engineering Sciences
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Philosophical transactions of the Royal Society of London / A, 379 (2204), Art. Nr.: 20200193
Papoutsellis, E, Ametova, E, Delplancke, C, Fardell, G, Jørgensen, J S, Pasca, E, Turner, M, Warr, R, Lionheart, W R B & Withers, P J 2021, ' Core Imaging Library-Part II : multichannel reconstruction for dynamic and spectral tomography ', Royal Society of London. Proceedings A. Mathematical, Physical and Engineering Sciences, vol. 379, no. 2204, 20200193 . https://doi.org/10.1098/rsta.2020.0193
Papoutsellis, E, Ametova, E, Delplancke, C, Fardell, G, Jørgensen, J S, Pasca, E, Turner, M, Warr, R, Lionheart, W R B & Withers, P J 2021, ' Core Imaging Library-Part II : multichannel reconstruction for dynamic and spectral tomography ', Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, vol. 379, no. 2204, 20200193 . https://doi.org/10.1098/rsta.2020.0193
ISSN: 1364-503X
1471-2962
Popis: 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’.
Databáze: OpenAIRE
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