DYNAMIC OPTIMIZED PRIORS FOR D-BAR RECONSTRUCTIONS OF HUMAN VENTILATION USING ELECTRICAL IMPEDANCE TOMOGRAPHY

Journal of Computational and Applied Mathematics
Melody AlsakerRashmi Murthy

Abstract

A method of including dynamic spatial priors in the 2-D D-bar reconstruction algorithm is presented for use on time-difference reconstructions of human subject thoracic data. The conductivity values for the prior are updated at each frame in the reconstruction using an optimization method applied to the scattering transform. The updates of the dynamic spatial priors are guided by a principle component analysis of the data to determine the timepoint in the ventilatory (or cardiac) cycle. The effectiveness of the method is demonstrated on human subject ventilatory data.

Citations

Jan 1, 2021·Inverse Problems·J L Mueller, S Siltanen
May 11, 2021·Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences·Andreas Hauptmann, Danny Smyl
Jun 8, 2021·Journal of Computational and Applied Mathematics·Melody AlsakerJennifer L Mueller

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