Optimal filtering of EIT data in spectral expansion analysis
S Meeson1, ALT Killingback1, BH Blott1, C Mitchell2, DF Evans2 and PJ Milla3
1Department of Physics, University of Southampton, Southampton, SO17 1BJ. UK. 2Gastrointestinal Research Unit, The London Hospital, London, UK. 3Institute Of Child Health, Great Ormond Street Hospital, London, UK.
The signal-to-noise ratios for some EIT measurements are very low, and for in vivo EIT measurements these are dependent on the electrode positioning and the distance from the current drive. The effect of removing noisy measurements to produce higher fidelity images was investigated, for the case of gastric emptying data. A consequence of this filtering was the reduction in the size of the sensitivity matrix and its subsequent singular value decomposition. Several different filters were tested and for each of these the spectral expansion regularisation filter was optimised using a chi squared test. Filtering out the measurements made by the spinal electrode, where the spinal bone barrier lies directly in the current-path to the stomach, produced improved images by reducing the artefact content in the spinal sector of the conductivity map. For stomach imaging little useful information is produced by the spinal electrode, and the benefits of filtering dominate. However artefact images may be generated. In contrt consistent small improvements were produced by filtering out some of the weakest signals.
Last modified 28th October 2000
Stuart Meeson
