Software Open Access
Kristian Bredies;
Richard Huber
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.5235563</identifier> <creators> <creator> <creatorName>Kristian Bredies</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0001-7140-043X</nameIdentifier> <affiliation>University of Graz</affiliation> </creator> <creator> <creatorName>Richard Huber</creatorName> <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1743-6786</nameIdentifier> <affiliation>University of Graz</affiliation> </creator> </creators> <titles> <title>Gratopy 0.1</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2021</publicationYear> <subjects> <subject>Radon transform</subject> <subject>fanbeam transform</subject> <subject>pixel-driven projection methods</subject> <subject>computed tomography</subject> <subject>image reconstruction</subject> </subjects> <dates> <date dateType="Issued">2021-08-23</date> </dates> <resourceType resourceTypeGeneral="Software"/> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5235563</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="URL" relationType="IsSupplementTo">https://github.com/kbredies/gratopy/tree/v0.1.0</relatedIdentifier> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.5221442</relatedIdentifier> </relatedIdentifiers> <version>v0.1.0</version> <rightsList> <rights rightsURI="https://opensource.org/licenses/GPL-3.0">GNU General Public License v3.0 or later</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p>The gratopy (<strong>Gr</strong>az <strong>a</strong>ccelerated <strong>to</strong>mographic projections for <strong>Py</strong>thon) toolbox is a Python3 software package for the efficient and high-quality computation of Radon transforms, fanbeam transforms as well as the associated backprojections. The included operators are based on pixel-driven projection methods which were shown to possess <a href="https://epubs.siam.org/doi/abs/10.1137/20M1326635">favorable approximation properties</a>. The toolbox offers a powerful parallel OpenCL/GPU implementation which admits high execution speed and allows for seamless integration into <a href="https://documen.tician.de/pyopencl/">PyOpenCL</a>. Gratopy can efficiently be combined with other PyOpenCL code and is well-suited for the development of iterative tomographic reconstruction approaches, in particular, for those involving optimization algorithms.</p> <p><strong>Highlights</strong></p> <ul> <li>Easy-to-use tomographic projection toolbox.</li> <li>High-quality 2D projection operators.</li> <li>Fast projection due to custom OpenCL/GPU implementation.</li> <li>Seamless integration into PyOpenCL.</li> <li>Basic iterative reconstruction schemes included (Landweber, CG, total variation).</li> <li>Comprehensive documentation, tests and example code.</li> </ul></description> </descriptions> <fundingReferences> <fundingReference> <funderName>Austrian Science Fund</funderName> <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100002428</funderIdentifier> <awardNumber awardURI="info:eu-repo/grantAgreement/FWF/Einzelprojekte/P+29192/">P 29192</awardNumber> <awardTitle>Regularization Graphs for Variational Imaging</awardTitle> </fundingReference> <fundingReference> <funderName>Austrian Science Fund</funderName> <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100002428</funderIdentifier> <awardNumber awardURI="info:eu-repo/grantAgreement/FWF/Doktoratskollegs+%28DKs%29/W+1244/">W 1244</awardNumber> <awardTitle>Partial Differential Equations - Modelling, Analysis, Numerical Methods and Optimization</awardTitle> </fundingReference> </fundingReferences> </resource>
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