A Level Set based Regularization Framework for EIT Image Reconstruction
نویسندگان
چکیده
منابع مشابه
A Level Set based Regularization Framework for EIT Image Reconstruction
Electrical Impedance Tomography (EIT) reconstructs the conductivity distribution within a medium from electrical stimulation and measurements at the medium surface. Level set based reconstruction method (LSRM) has gained attention during the last decade as an effective solution to address the need of reconstructing structures with limited amount of available data. The classical LSRM is based on...
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We show that electrical impedance tomography (EIT) image reconstruction algorithms based on the Level Set (LS) method are suitable for real data, which is breathing data in our application. The LS based reconstruction method (LSRM) helps track fast topologically changing interfaces, which are typically smoothed by traditional voxel based reconstruction method (VBRM), during the monitoring proce...
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Based on level set approaches, a hybrid framework with quality control for nuclear segmentation of confocal images is presented. To overcome non homogeneous background, nuclei are firstly modeled into circles with some additive noise and Laplacian of Gaussian filter as a blob-detector is applied. Then, nuclei centers are obtained by energy minimization of fast marching towards the boundaries of...
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The spatial resolution of the reconstructed images in Electrical impedance tomography (EIT) is low and a priori information regarding smooth conductivity changes limits reconstruction of sharp images while it is preferred in order to differentiate tissue boundaries in medical imaging. Measurement errors are another barrier that hinder a good image reconstruction. Generally `2 norms have been us...
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ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2013
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/434/1/012083