Dynamic optimized priors for D-bar reconstructions of human ventilation using electrical impedance tomography

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...

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Bibliographic Details
Published inJournal of computational and applied mathematics Vol. 362; pp. 276 - 294
Main Authors Alsaker, Melody, Mueller, Jennifer L., Murthy, Rashmi
Format Journal Article
LanguageEnglish
Published Belgium Elsevier B.V 15.12.2019
Subjects
D-bar method
Electrical impedance tomography
Inverse problems
Regularization
Electrical impedance tomography
Inverse problems
Regularization
D-bar method
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Summary: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.
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ISSN:0377-0427
1879-1778
DOI:10.1016/j.cam.2018.07.039