Abstract
Magnetopneumography (MPG) uses examination of remanent magnetic field for determination of amount and distribution of ferromagnetic dust respired into the lungs. Experimental physical model and forward computer solver were built in order to provide data for training of neural network inverse model. Refinement of models, gradiometric configurations and inversion techniques is under research.
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