Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.646139
Title: Electrical impedance tomography : algorithms and applications
Author: Yang, Chuan Li
ISNI:       0000 0004 5360 7682
Awarding Body: University of Bath
Current Institution: University of Bath
Date of Award: 2014
Availability of Full Text:
Access from EThOS:
Access from Institution:
Abstract:
Electrical impedance tomography (EIT) is an imaging technique for detecting the internal conductivity distribution of an object by voltage measurements taken by an exterior electrode. EIT has been researched in many different application areas in the world as a simpler, cheaper alternative to many other imaging methods. The topic of this PhD study is mainly focused on a number of key developments in both hardware and software implementation. The basic theories of EIT, including forward problem, inverse problem of EIT and the sensor design have been described. Major contributions of the thesis are in computational and experimental aspects of EIT in a wide variety of geometries. A sparse and memory efficient method has been presented to solve large scale 3D EIT problems. A parallel conjugate gradient (PCG) has been applied to demonstrate computational improvements using synthetic and experimental data. 3D EIT has been implemented for planar array geometry for limited access tomography. Furthermore, multiple frequencies with complex conductivity reconstruction are presented and applied to an EIT-based fabric pressure mapping sensor. A comparative study with traditional tank phantom is presented to provide a context for a fabric pressure mapping sensor. As the motivation for different frequency response with different conductivity inclusions, frequency difference EIT has been implemented to overcome problems of time difference EIT.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.646139  DOI: Not available
Share: