Tapping Into a Resource Hidden Behind MR Images: Learning Quantitative Imaging Biomarkers from Raw Big Data
Projektnummer
N000749
Zusammenfassung
Magnetic Resonance Imaging (MRI) per se is a slow, non-quantitative imaging modality. The reason for its popularity within medical imaging is based on its superb soft tissue contrast and lack of ionizing radiation. Computational Magnetic Resonance Imaging is a new field that combines numerical reconstruction algorithms with novel data acquisition strategies to develop improved and highly accelerated imaging methods that overcome the limits of traditional MRI. One lesson learned from the research of highly accelerated MRI is the need for sophisticated signal models to fully recover all ...
Projektinformationen
Status:
Durchführung
Startdatum:
01.10.2019
Enddatum:
30.09.2022
Fördersumme:
1.078.200 €
Profilbereich:
zukunft.niedersachsen
Förderinitiative:
zukunft.niedersachsen
Ausschreibung:
Big Data in den Lebenswissenschaften der Zukunft