Abstract
Electrical Impedance Tomography (EIT) is used to monitor the regional distribution of ventilation in the lungs. In this paper we describe an approach to use patient specific morphological information, obtained e.g. from CT or MRI data, for the image reconstruction process of EIT imaging. The method utilizes the Discrete Cosine Transform (DCT) of an image of the considered thorax region. This reduces the dimensionality of the reconstruction problem, decreases the amount of artifacts and ensures that the region of the lungs is considered in the image reconstruction. The approach enables image fusion of morphological images with functional EIT images. The method is evaluated on simulated data and on measurements from patients.
The original version of this chapter was inadvertently published with an incorrect chapter pagination 1270–1273 and DOI 10.1007/978-3-319-32703-7_243. The page range and the DOI has been re-assigned. The correct page range is 1276–1279 and the DOI is 10.1007/978-3-319-32703-7_244. The erratum to this chapter is available at DOI: 10.1007/978-3-319-32703-7_260
An erratum to this chapter can be found at http://dx.doi.org/10.1007/978-3-319-32703-7_260
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Schullcke, B., Gong, B., Krueger-Ziolek, S., Moeller, K. (2016). EIT Image Reconstruction with Discrete Cosine Transform. In: Kyriacou, E., Christofides, S., Pattichis, C. (eds) XIV Mediterranean Conference on Medical and Biological Engineering and Computing 2016. IFMBE Proceedings, vol 57. Springer, Cham. https://doi.org/10.1007/978-3-319-32703-7_244
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DOI: https://doi.org/10.1007/978-3-319-32703-7_244
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