Search Research Symposium Abstracts

  • Symposium Year

  • Session

  • Keywords (e.g. Abstract keywords, Presenter name)

  • Reset
Found 4 Results
Page 1 of 1

Techniques to improve resolution in the D-bar method for pulmonary imaging with electrical impedance tomography*

Electrical impedance tomography (EIT) is a non-ionizing modality for real-time imaging of ventilation of patients with respiratory distress. Cross-sectional dynamic images are formed by reconstructing the conductivity distribution from measured voltage data arising from applied alternating currents on electrodes placed circumferentially around the chest. [Read More...]

Presenter: Jennifer Mueller, Colorado State University
Authors: Jennifer Mueller, Talles Santos, Jari Kaipio, Raul Lima
Symposium Year: 2022
Session: Recent Advancements in Inverse Problems and Imaging
Presentation Time: June 19, 2022; 8:50 am

Fast Imaging of Local Perturbations in Periodic Layers: Some Remarks on Non-scattering Waves*

We present a new differential factorization method to recover local perturbations in a periodic layered media. This method provides an indicator function of the support of a perturbation without using any model for the healthy periodic layer. Essential to this type of imaging approach is that the scattering (measurement) operator is injective. In other [Read More...]

Presenter: Fioralba Cakoni, Rutgers Universith, New Brunswick
Authors: Fioralba Cakoni
Symposium Year: 2022
Session: Recent Advancements in Inverse Problems and Imaging
Presentation Time: June 19, 2022; 9:15 am

Total Variation regularization parameter selection*

Total Variation (TV) regularization has shown to be effective in recovering parameters with edges or discontinuities. As with any regularization method, regularization parameter selection is important. For example, the discrepancy principle is a classical approach whereby data are fit to a specified tolerance. The tolerance can be identified by noting [Read More...]

Presenter: Jodi Mead, Boise State University
Symposium Year: 2022
Session: Recent Advancements in Inverse Problems and Imaging
Presentation Time: June 19, 2022; 9:40 am

Optimal Design of Large-scale Bayesian Inverse Problems Under Uncertainty*

We consider optimal design of infinite-dimensional Bayesian inverse problems governed by partial differential equations (PDEs) that contain secondary (reducible) model uncertainties, in addition to the uncertainty in the inversion parameters. We seek experimental designs that minimize the posterior uncertainty in the primary parameters while accounting for [Read More...]

Presenter: Noemi Petra, University of California, Merced
Authors: Alen Alexanderian, Ruanui Nicholson, Noemi Petra, Georg Stadler
Symposium Year: 2022
Session: Recent Advancements in Inverse Problems and Imaging
Presentation Time: June 19, 2022; 10:05 am
Page 1 of 1