DC Element | Wert | Sprache |
---|---|---|
dc.contributor.advisor | Brandt, Christina | - |
dc.contributor.author | Blanke, Stephanie Elisabeth | - |
dc.date.accessioned | 2024-09-03T10:23:24Z | - |
dc.date.available | 2024-09-03T10:23:24Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | https://ediss.sub.uni-hamburg.de/handle/ediss/11127 | - |
dc.language.iso | en | de_DE |
dc.publisher | Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky | de |
dc.rights | http://purl.org/coar/access_right/c_abf2 | de_DE |
dc.subject | Magnetic Particle Imaging | en |
dc.subject | Computerized Tomography | en |
dc.subject | Inverse Problems | en |
dc.subject | Variational Regularization | en |
dc.subject | Total Variation | en |
dc.subject.ddc | 510: Mathematik | de_DE |
dc.title | Artifact Reduction for Radon-based Image Reconstruction in Magnetic Particle Imaging with an FFL Scanner | en |
dc.type | doctoralThesis | en |
dcterms.dateAccepted | 2024-03-14 | - |
dc.rights.cc | https://creativecommons.org/licenses/by/4.0/ | de_DE |
dc.rights.rs | http://rightsstatements.org/vocab/InC/1.0/ | - |
dc.subject.bcl | 31.80: Angewandte Mathematik | de_DE |
dc.type.casrai | Dissertation | - |
dc.type.dini | doctoralThesis | - |
dc.type.driver | doctoralThesis | - |
dc.type.status | info:eu-repo/semantics/publishedVersion | de_DE |
dc.type.thesis | doctoralThesis | de_DE |
tuhh.type.opus | Dissertation | - |
thesis.grantor.department | Mathematik | de_DE |
thesis.grantor.place | Hamburg | - |
thesis.grantor.universityOrInstitution | Universität Hamburg | de_DE |
dcterms.DCMIType | Text | - |
dc.identifier.urn | urn:nbn:de:gbv:18-ediss-120793 | - |
item.advisorGND | Brandt, Christina | - |
item.grantfulltext | open | - |
item.creatorGND | Blanke, Stephanie Elisabeth | - |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | other | - |
item.creatorOrcid | Blanke, Stephanie Elisabeth | - |
Enthalten in den Sammlungen: | Elektronische Dissertationen und Habilitationen |
Dateien zu dieser Ressource:
Datei | Beschreibung | Prüfsumme | Größe | Format | |
---|---|---|---|---|---|
dissertation.pdf | 085e91ba718a072732394490b60ebd87 | 14.24 MB | Adobe PDF | Öffnen/Anzeigen |
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