Mehrschichtiges Perzeptron zur Machine-Learning-Bildrekonstruktion

Details

Veröffentlichungs-Nr.

EP4365618

Aktenzeichen

EP23207754

Anmeldetag

3. November 2023

Veröffentlichung

8. Mai 2024

Rechtsraum

EP

IPC

G01R33/56G06N3/045G16H30/40G16H50/20

Abstract

An apparatus for reconstructing or filtering medical image data is provided. The apparatus includes processing circuitry to receive a first medical image data and meta-parameters related to the first medical image data; apply the received meta-parameters to inputs of a first trained machine-learning (ML) network, e.g., a multilayer perceptron, to obtain, from outputs of the first trained ML network, tuning parameters of a second ML network (e.g., a convolutional neural network) different from the first ML network; apply the received first medical image data to inputs of the second ML network, as tuned by the obtained tuning parameters output from the first ML network, to obtain, from outputs of the second ML network, second medical image data; and output the second medical image data. In one embodiment, the first medical image data is magnetic-resonance k-space data and the second medical data is a magnetic-resonance image.

Anmelder

Firmen

University of Iowa Research Foundation
Canon Medical Systems Corporation

Land

🇺🇸 USA

Fachgebiete