Publication
Title
Easy implementation of advanced tomography algorithms using the ASTRA toolbox with Spot operators
Author
Abstract
Mathematical scripting languages are commonly used to develop new tomographic reconstruction algorithms. For large experimental datasets, high performance parallel (GPU) implementations are essential, requiring a re-implementation of the algorithm using a language that is closer to the computing hardware. In this paper, we introduce a new MATLAB interface to the ASTRA toolbox, a high performance toolbox for building tomographic reconstruction algorithms. By exposing the ASTRA linear tomography operators through a standard MATLAB matrix syntax, existing and new reconstruction algorithms implemented in MATLAB can now be applied directly to large experimental datasets. This is achieved by using the Spot toolbox, which wraps external code for linear operations into MATLAB objects that can be used as matrices. We provide a series of examples that demonstrate how this Spot operator can be used in combination with existing algorithms implemented in MATLAB and how it can be used for rapid development of new algorithms, resulting in direct applicability to large-scale experimental datasets.
Language
English
Source (journal)
Numerical algorithms. - Basel, 1991, currens
Publication
Basel : 2016
ISSN
1017-1398 [print]
1572-9265 [online]
DOI
10.1007/S11075-015-0016-4
Volume/pages
71 :3 (2016) , p. 673-697
ISI
000373371600011
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Project info
Quantitative tomographic segmentation of magnetic resonance images
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 10.05.2016
Last edited 09.10.2023
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