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A Novel Framework for Head Imaging with Electrical Impedance Tomography

Jehl, MF; (2016) A Novel Framework for Head Imaging with Electrical Impedance Tomography. Doctoral thesis , UCL (University College London). Green open access

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Abstract

Electrical Impedance Tomography (EIT) is a medical imaging technology with the potential to locate focal epilepsy, monitor patients with traumatic brain injury and diagnose stroke. EIT usually images conductivity changes in time or in frequency of the applied current and measured voltages. While it is nowadays clinically used for monitoring lung ventilation, its application in head imaging is complicated by the geometry of the head, containing tissues with strongly varying conductivities. The aim of this thesis is to provide a novel framework for EIT head imaging by addressing the requirements for higher modelling accuracy throughout the imaging process. An introduction to EIT, its applications for head imaging and the two main components of EIT image reconstructions is given in chapter 2. A procedure for generating more accurate head models is presented in chapter 3 and is used to evaluate, whether subject specifc head models are required for EIT imaging. To speed up simulations of current fow through the head and the computation of the Jacobian matrix required for image reconstructions, a fast parallel forward solver is implemented and validated in chapter 4. Stability of time-diference image reconstructions with respect to electrode modelling errors is addressed in chapter 5, followed by an evaluation of modelling error impacts on multi-frequency imaging in chapter 6. The fndings of chapters 5 and 6 are fnally combined in chapter 7 to recover electrode positions in multi-frequency stroke imaging, thereby reducing image artefacts and making stroke diagnosis with EIT feasible.

Type: Thesis (Doctoral)
Title: A Novel Framework for Head Imaging with Electrical Impedance Tomography
Event: University College London
Open access status: An open access version is available from UCL Discovery
Language: English
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/1475968
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