HighLine: High Image Quality for Lines in MRI
| dc.contributor.author | Scharr, Hanno | |
| dc.contributor.author | Bangun, Arya | |
| dc.contributor.author | Pfaehler, Elisabeth | |
| dc.contributor.author | Pflugfelder, Daniel | |
| dc.contributor.author | Blömer, Simon | |
| dc.contributor.author | Stirnberg, Rüdiger | |
| dc.contributor.author | Stöcker, Tony | |
| dc.date.accessioned | 2025-11-19T12:31:56Z | |
| dc.date.available | 2025-11-19T12:31:56Z | |
| dc.date.issued | 2025-11-12 | |
| dc.description.abstract | HighLine is a project funded by the Helmholtz Imaging Platform that was active from Apr. 2023 to Mar. 2025. In the project the German Center for Neurodegenerative Diseases (DZNE) and Forschungszentrum Jülich jointly advanced MR root imaging in the environmental domain and MRA for medical purposes. The goal addressed was to improve image acquisition, reconstruction, and processing methods for increased signal-to-noise ratio and super-resolution. All project goals have been reached in time and in budget. The main findings are novel super-resolution and denoising algorithms and MR angiography imaging sequences. All findings have been published and are briefly described below. | ger |
| dc.description.version | publishedVersion | |
| dc.identifier.uri | https://oa.tib.eu/renate/handle/123456789/25925 | |
| dc.identifier.uri | https://doi.org/10.34657/24942 | |
| dc.language.iso | eng | |
| dc.publisher | Hannover : Technische Informationsbibliothek | |
| dc.relation.affiliation | Institute for Advanced Simulation, IAS-8: Data Analytics and Machine Learning, Forschungszentrum Jülich GmbH, Jülich, Germany | |
| dc.relation.affiliation | Institute of Neurosciences and Medicine, INM-4: Medical Imaging Physics, Forschungszentrum Jülich GmbH, Jülich, Germany | |
| dc.relation.affiliation | Institute of Bio- and Geosciences, IBG-2: Plant Sciences, Forschungszentrum Jülich GmbH, Jülich, Germany | |
| dc.relation.affiliation | MR Physics, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany | |
| dc.rights.license | Creative Commons Attribution-NonDerivs 3.0 Germany | |
| dc.subject.ddc | 000 | Informatik, Information und Wissen, allgemeine Werke | |
| dc.subject.ddc | 500 | Naturwissenschaften | |
| dc.subject.other | MRI | eng |
| dc.subject.other | image reconstruction | eng |
| dc.subject.other | super-resolution | eng |
| dc.subject.other | line-like data | eng |
| dc.subject.other | denoising | eng |
| dc.subject.other | plant roots | eng |
| dc.subject.other | angiography | eng |
| dc.title | HighLine: High Image Quality for Lines in MRI | ger |
| dc.title.subtitle | Final Report | |
| dc.type | Report | |
| dc.type | Text | |
| dcterms.event.date | Apr. 2023 to Mar. 2025 | |
| dcterms.extent | 8 | |
| dtf.funding.funder | andere | |
| dtf.funding.program | ZT-I-PF-4-042 |
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