Electrical impedance tomography

By Liliana Borcea. 2002

382 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Geophysics, Mathematical Physics

View Paper: https://www.semanticscholar.org/paper/4455857c380426d66f4d4374d5290691d632fc9e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Kenneth J. Loh
2. Simon Robert Arridge
3. Martin Brühl
4. Antoine Laurain
5. Jerome P. Lynch
6. Otmar Scherzer
7. Kevin Sturm
8. Martin Hanke

In Geophysics

1. Simon Robert Arridge
2. Martin Brühl
3. Antoine Laurain
4. Jerome P. Lynch
5. Otmar Scherzer
6. Kevin Sturm
7. Martin Hanke
8. Andrew M. Stuart

In Mathematical Physics

1. Otmar Scherzer
2. Markus Haltmeier
3. Andrew M. Stuart
4. Simon Robert Arridge
5. Martin Brühl
6. Antoine Laurain
7. Jerome P. Lynch
8. Kevin Sturm

Citations in the corpus

• Distributed shape derivative via averaged adjoint method and applications (2015, background): “responsible for the instability of the reconstruction process. Additionally, partial measurements often encountered in practice render the inverse problem even more ill-posed. We refer to the reviews [5,10,31] and the references therein for more details. A standard cure against the ill-posedness is ”
• Inverse Problems for Nonsmooth First Order Perturbations of the Laplacian (2004, neutral): “For references see the survey Borcea [6].”
• KACZMARZ METHODS FOR REGULARIZING NONLINEAR ILL-POSED EQUATIONS I: CONVERGENCE ANALYSIS (2007, background): “Many practical inverse problems are naturally formulated in such a way [2, 5, 7, 8, 14, 18, 17, 21, 20, 26].”
• Recent progress in electrical impedance tomography (2003, result): “In this paper we focus on our own contributions to this particular aspect of impedance tomography; for a somewhat broader point of view we refer to the recent surveys by Cheney et al [10] and Borcea [ 3 ].”
• Spatial conductivity mapping of carbon nanotube composite thin films by electrical impedance tomography for sensing applications (2007, methodology): “To minimize the quadratic cost function, various algorithms are available that offer an optimal means of adjusting the conductivity distribution between successive forward solutions; in this study, the regularized Gauss‐Newton algorithm, which is an iterative approach, is adopted to minimize equatio”
• Recent advances in diffuse optical imaging (2005, background): “…that similar issues are being addressed in electrical impedance tomography (EIT), which is a related medical imaging technique in which surface measurements of electrical impedance are used to reconstruct volume images of tissue conductivity (Metherall et al 1996, Borcea 2002, Lionheart 2004).”
• Inverse problems: A Bayesian perspective (2010, background): “It is of central importance in the medical sciences, and also has a rich mathematical structure; see Borcea (2002) and Uhlmann (2009) for reviews.”