Verfahren zur Iterativen Rekonstruierung von Bildern unter Verwendung von Tiefenlernen

Details

Veröffentlichungs-Nr.

EP4050565

Aktenzeichen

EP21159672

Anmeldetag

26. Februar 2021

Veröffentlichung

4. Dezember 2024

Erteilung

4. Dezember 2024

Rechtsraum

EP

IPC

G06T11/00

Abstract

The present invention is related to a computer-implemented method of iteratively reconstructing images or a volume, in particular medical images or a medical volume like computer tomography (CT) images or a CT volume, using deep learning and a computer-implemented method of training. Projection filter parameter(s) of a projection (joint) bilateral filter, (J)BF, are automatically tuned by a first trained neural network based on data of projections of an imaging procedure. Volume filter parameter(s) of a volume (J)BF are automatically tuned by a second trained neural network based on data of a volume backward-projected from projections filtered by the projection (joint) bilateral filter using the automatically tuned projection filter parameter(s). A volume filtered by the volume (J)BF is output as the reconstructed medical images or volume, in case the filtered volume meets a predefined quality criterion.

Anmelder

Firmen

Siemens Healthineers AG
Siemens Healthcare GmbH

Land

🇩🇪 Deutschland

Fachgebiete