Data processing techniques for serial EIT spectroscopy images: a review of some preliminary results.
Mutlifrequency EIT imaging should allow specific organs within the body to be identified by their impedance spectrum, and the use of parametric imaging should lead to a much greater freedom from movement artefacts. This will make EIT more attractive as a monitoring technique, but the data rate will require automated processing of the images. The application of dynamic regions of interest, generated on a frame by frame basis, is described, with examples from the imaging of neonatal lungs and adult stomach. The lung can be objectively identified on a single frame from the fRSC, SC and RC images, but the stomach could only be identified on the dynamic images.
Department of Medical Physics and Clinical Engineering, University of Sheffield, Royal Hallamshire Hospital, UK.
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Smallwood
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Hampshire
D000818:Animals; D017097:Electric Impedance; D001330:Electronic Data Processing; D006801:Humans; D014054:Tomography / Q000706:statistics & numerical data*