Use of prior knowledge for interventional MRI (OvGU:ESF:MEMoRIAL M1-p4)
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Finanzierung:
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This project aims at the reconstruction of dynamic time series from almost acquisitions.
Typically, these are almost acquisitions of lower quality (eg wrt resolution, contrast, or artefacts) to slower scans with higher resolution; At the sametime we know that the object is primarily left apart from potential non-linear deformations and the presence of an interventional tool (eg a needle).
Consequently, a lot is known about the object.
This project aims to include available prior knowledge, and perfrom undersampled MR reconstruction using Deep Learning.
Typically, these are almost acquisitions of lower quality (eg wrt resolution, contrast, or artefacts) to slower scans with higher resolution; At the sametime we know that the object is primarily left apart from potential non-linear deformations and the presence of an interventional tool (eg a needle).
Consequently, a lot is known about the object.
This project aims to include available prior knowledge, and perfrom undersampled MR reconstruction using Deep Learning.
Kontakt
Dr. Soumick Chatterjee
Otto-von-Guericke-Universität Magdeburg
Institut für Technische und Betriebliche Informationssysteme
Universitätsplatz 2
39106
Magdeburg
Tel.:+49 391 6751849