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Biomedical electrical impedance tomography (EIT) seeks to image the interior conductivity spatial distribution within a 3-D object. In this paper, we propose a novel excitation mode of 3-D EIT for generalized back projection algorithm (GBPA). The new injection configuration is optimized by particle swarm optimization making the equipotential distribution monotonic, so that the projection matrix of...
The 3-D substantial model is built for the bushing end of an ultra-high voltage transformer high-voltage coil and the surrounding of the equipotential shielding. This model is properly simplified according to the symmetrical structure of the coil. The electric field intensity nearby the transformer's high-intense coil and the surrounding of the equipotential shielding are calculated on the basis of...
In head MRI image sequences, the boundary of each encephalic tissue is highly complicated and irregular. It is a real challenge to traditional 3D modeling algorithms. Support vector machine (SVM) based on statistical learning theory has solid theoretical foundation. sphere-shaped SVM (SSSVM) was originally developed for solving some special classification problems. In this paper, it is extended to...
In head MRI image, the boundary of each encephalic tissue is highly complicated and irregular. It is a real challenge to traditional segmentation algorithms. Support vector machine (SVM) has high generalization ability, especially for dataset with small number of samples in high dimensional space. However, selecting parameters for SVM is a complicated problem which directly affects segmentation result...
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