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Research data on: Ventilation and perfusion assessment by functional MRI with non-contrast-enhanced 2D ultra-short echo time (UTE)

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Erstveröffentlichung
2023
Data creator
Yang, Bingjie
Bewegte Bilder


Faculties
Medizinische Fakultät
Institutions
UKU. Klinik für Innere Medizin II
Abstract
Respiratory phase images were reconstructed applying an image-based self-gating technique. Multi-cardiac phase images were reconstructed applying k0-based self-gating technique. The images of segmented lung over the respiratory cycle after segmentation and registration to the end-expiratory reference phase had been adjusted for lung parenchyma visualization.
Date created
2022
Subject headings
[GND]: Segmentierung | Registrierung (Bildverarbeitung)
[LCSH]: Image registration
[Free subject headings]: Respiratory phase | Multi-cardiac phase | Segmentation | Registration
[DDC subject group]: DDC 610 / Medicine & health
License
CC BY 4.0 International
https://creativecommons.org/licenses/by/4.0/

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DOI & citation

Please use this identifier to cite or link to this item: http://dx.doi.org/10.18725/OPARU-48725

Yang, Bingjie (2023): Research data on: Ventilation and perfusion assessment by functional MRI with non-contrast-enhanced 2D ultra-short echo time (UTE). Open Access Repositorium der Universität Ulm und Technischen Hochschule Ulm. http://dx.doi.org/10.18725/OPARU-48725
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