Technik zur Zuordnung einer Perfusionsmetrik zu Dce-Mr-Bildern

Details

Veröffentlichungs-Nr.

EP4092621

Aktenzeichen

EP21175153

Anmeldetag

21. Mai 2021

Veröffentlichung

23. November 2022

Rechtsraum

EP

IPC

G06T7/00G06N3/094G06N3/09G06N3/0895G06N3/0475G06N3/0464G06N3/0455

Abstract

Technique for assigning a perfusion metric to dynamic contrast-enhanced, DCE, magnetic resonance, MR, images, (104) the DCE MR images obtained from a MR scanner (102) and under a free-breathing protocol is provided. As to a neural network system (100) aspect, a neural network system (100) for assigning a perfusion metric to DCE MR images, comprises an input layer (112) configured to receive at least one DCE MR image (104a) representative of a first contrast enhancement state and of a first respiratory motion state and at least one further DCE MR image (104b) representative of a second contrast enhancement state and of a second respiratory motion state. The neural network (100) further comprises an output layer (116) configured to output at least one perfusion metric based on the at least one DCE MR image (104a) and the at least one further DCE MR image (104b). The neural network system (100) with interconnections between the input layer (112) and the output layer (116) is trained by a plurality of datasets, each of the datasets comprising an instance of the at least one DCE MR image (104a) and of the at least one further DCE MR image (104b) for the input layer (114) and the at least one perfusion metric for the output layer (116).

Anmelder

Firmen

Siemens Healthineers AG
Siemens Healthcare GmbH

Land

🇩🇪 Deutschland

Fachgebiete