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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