High fidelity imaging and high performance computing in nonlinear EIT
High fidelity imaging and high performance computing in nonlinear EIT
We show that nonlinear EIT provides images with well defined characteristics when smoothness of the image is used as a constraint in the reconstruction process. We use the gradient of the logarithm of resistivity as an effective measure of image smoothness, which has the advantage that resistivity and conductivity are treated with equal weight. We suggest that a measure of the fidelity of the image to the object requires the explicit definition and application of such a constraint. The algorithm is applied to the simulation of intra-ventricular haemorrhaging (IVH) in a simple head model. The results indicate that a 5% increase in the blood content of the ventricles would be easily detectable with the noise performance of contemporary instrumentation. The possible implementation of the algorithm in real time via high performance computing is discussed.
nonlinear electrical impedance tomography, intraventricular haemorrhaging, parallel computing, inverse problem constraints
7-13
B H Blott, B H
eb1d0d9c-5abc-4024-9c05-550820819f1e
Cox, S J
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Daniell, G J
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Caton, M J
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Nicole, D A
a66d44ce-dd18-4c71-8cf4-2aeb0c122527
2000
B H Blott, B H
eb1d0d9c-5abc-4024-9c05-550820819f1e
Cox, S J
3864b33b-6961-4e92-a5e0-5d5160e3555b
Daniell, G J
36dd7055-af34-48c7-88a3-f2e5f633d52c
Caton, M J
dc55a3e8-88e1-49bc-967a-3fd11aa62a79
Nicole, D A
a66d44ce-dd18-4c71-8cf4-2aeb0c122527
B H Blott, B H, Cox, S J, Daniell, G J, Caton, M J and Nicole, D A
(2000)
High fidelity imaging and high performance computing in nonlinear EIT.
Physiological Measurement, 21 (1), .
Abstract
We show that nonlinear EIT provides images with well defined characteristics when smoothness of the image is used as a constraint in the reconstruction process. We use the gradient of the logarithm of resistivity as an effective measure of image smoothness, which has the advantage that resistivity and conductivity are treated with equal weight. We suggest that a measure of the fidelity of the image to the object requires the explicit definition and application of such a constraint. The algorithm is applied to the simulation of intra-ventricular haemorrhaging (IVH) in a simple head model. The results indicate that a 5% increase in the blood content of the ventricles would be easily detectable with the noise performance of contemporary instrumentation. The possible implementation of the algorithm in real time via high performance computing is discussed.
More information
Published date: 2000
Keywords:
nonlinear electrical impedance tomography, intraventricular haemorrhaging, parallel computing, inverse problem constraints
Organisations:
Electronics & Computer Science
Identifiers
Local EPrints ID: 263808
URI: http://eprints.soton.ac.uk/id/eprint/263808
ISSN: 0967-3334
PURE UUID: e57743fd-9ab0-4e9f-afbf-e39fe1db4eb2
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Date deposited: 29 Mar 2007
Last modified: 14 Mar 2024 07:38
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Contributors
Author:
B H B H Blott
Author:
S J Cox
Author:
G J Daniell
Author:
M J Caton
Author:
D A Nicole
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