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Abstract #5103

Evaluation of the Noise Behavior of Gradient-based vs. Helmholz-based Reconstruction of Electrical Properties Tomography in Simulation

Yihe Hua1, Ileana Hancu1, Seung-Kyun Lee2, Teck Beng Desmond Yeo1, and Jiaen Liu3

1GE Global Research, Niskayuna, NY, United States, 2Department of Biomedical Engineering, Sungkyunkwan University, Seoul, Republic of Korea, 3Laboratory of Functional and Molecular Imaging, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States

Electrical properties tomography (EPT) is a promising technique that has the potential to generate high resolution images of tissue electrical properties in vivo. One limitation of EPT is its high sensitivity to noise in the measured data. In this study, a comparison was performed between the so-called gradient-based EPT (gEPT) algorithm and the Helmholtz-based EPT method in a simulation. The result suggests significantly improved performance using gEPT and provides useful insight into the noise behavior of various EPT algorithms for optimization of the algorithm design.

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