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

JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

卷:362

Article; Proceedings Paper

Alsaker, Melody¹  Mueller, Jennifer L.^2,3  Murthy, Rashmi² 

[1] Gonzaga Univ, Dept Math, Spokane, WA 99258 USA

[2] Colorado State Univ, Dept Math, Ft Collins, CO 80523 USA

[3] Colorado State Univ, Sch Biomed Engn, Ft Collins, CO 80523 USA

关键词: Inverse problems;    Regularization;    D-bar method;    Electrical impedance tomography;   

DOI  :  10.1016/j.cam.2018.07.039

来源: Elsevier

【 摘 要 】

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. (C) 2018 Elsevier B.V. All rights reserved.

【 授权许可】

Free