Verfahren und System zur Stromdichtekartenrekonstruktion durch Gemeinsame Optimierung von Magnetfeldkarten

Details

Veröffentlichungs-Nr.

EP4741860

Anmeldetag

28. Oktober 2025

Veröffentlichung

13. Mai 2026

Rechtsraum

EP

Abstract

Embodiments herein provide a method and system for current density maps reconstruction by jointly optimizing x-direction, y-direction and z-direction magnetic field maps. Herein, the method of reconstruction of current image is leveraging state of the art iterative reconstruction techniques along with deep learning techniques. The quality of the current reconstruction depends on the signal to noise ratio (SNR) of the magnetic field observed. Since the noise model is difficult to characterize, a deep neural network is trained to learn the complex noise model from the data itself. To simulate the realistic scenarios, training data is created by introducing various kinds of noise that may appear in the system and collecting the training data pairs, i.e., pair of noisy and denoised x-direction and y- direction current density maps. The DNN is trained on this paired data to learn the noise model.

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Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien