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Conf Proc IEEE Eng Med Biol Soc. 2012;2012:1040-4. doi: 10.1109/EMBC.2012.6346112.

Estimating electrical conductivity tensors of biological tissues using microelectrode arrays.

Author information

  • 1Preston M. Green Department of Electrical and Systems Engineering, Washington University in St. Louis, St. Louis, MO 63130, USA. gilboae@ese.wustl.edu

Abstract

Finding the electrical conductivity of tissue is important for understanding the tissue's structure and functioning. However, the inverse problem of inferring spatial conductivity from data is highly ill-posed and computationally intensive. In this paper, we propose a novel method to solve the inverse problem of inferring tissue conductivity from a set of transmembrane potential and stimuli measurements made by microelectrode arrays (MEA). We propose a parallel optimization algorithm based on a single-step approximation with a parallel alternating optimization routine. This algorithm simplifies the joint tensor field estimation problem into a set of computationally tractable subproblems, allowing the use of efficient standard optimization tools.

PMID:
23366073
[PubMed - indexed for MEDLINE]
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