Colorado State University. Libraries
A direct D-bar reconstruction algorithm for complex admittivities in W2,∞(Ω) for the 2-D EIT problem
Abstract
dc:description.abstractElectrical Impedance Tomography (EIT) is a fairly new, portable, relatively inexpensive, imaging system that requires no ionizing radiation. Electrodes are placed at the surface of a body and low frequency, low amplitude current is applied on the electrodes, and the resulting voltage value on each electrode is measured. By applying a basis of current patterns, one can obtain sufficient information to recover the complex admittivity distribution of the region in the plane of the electrodes. In 2000, Elisa Francini presented a nearly constructive proof that was the first approach using D-bar methods to solve the full nonlinear problem for twice-differentiable conductivities and permittivities. In this thesis the necessary formulas to turn her proof into a direct D-bar reconstruction algorithm that solves the full nonlinear admittivity problem in 2-D are described. Reconstructions for simulated Finite Element data for circular and non-circular domains are presented.
Degree
thesis:*- Name thesis:degree_name
- Doctor of Philosophy (Ph.D.)
- Level thesis:degree_level
- Doctoral
- Discipline thesis:degree_discipline
- Mathematics
- Grantor dc:publisher
- Colorado State University. Libraries
- Year dc:date.issued
- 2012
Author and committee
dc:creator, dc:contributor.*- Authors dc:creator
-
- Hamilton, Sarah Jane, author
- Mueller, Jennifer L., advisor
- DuChateau, Paul, committee member
- Tavener, Simon, committee member
- Lear, Kevin, committee member
Subjects
dc:subject × 4Rights
dc:rights- Statement dc:rights
-
- Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
- Language dc:language.iso
- eng, English
Identifiers
dc:identifier.*- Identifier URI
- https://doi.org/10.25675/3.018618
- OAI identifier oai:identifier
- oai:mountainscholar.org:10217/68173