Electrical capacitance tomography (ECT) is used to image the permittivity distribution of an object by measuring the mutual electrical capacitance between sets of electrodes mounted on its periphery. Reconstruction of the cross-section images in ECT system from the capacitance measurements is a nonlinear and illposed inverse problem. However, there are many algorithms to solve the inverse probl...

The reassembly of fragments to reconstruct images and objects is a problem often encountered in several applications, ranging from archeology to medicine. In this paper we present a novel method for reassembling two 2D fragments. The proposed method is based on the information extracted from the outlines and from the color contents of the fragments, without relying on any knowledge of the final...

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Technique of image reconstruction using Ftransform uses basic functions for computation. Radius and partition of these functions affects quality of the reconstruction. In this article we are focusing on influence of the basic function shape on the quality of reconstruction and providing results of nondecreasing, nonincreasing and oscillating examples.

UNLABELLED The high-resolution research tomograph (HRRT) is a dedicated human brain PET scanner. At present, iterative reconstruction methods are preferred for reconstructing HRRT studies. However, these iterative reconstruction algorithms show bias in short-duration frames. New algorithms such as the shifted Poisson ordered-subsets expectation maximization (SP-OSEM) and ordered-subsets weighte...

To improve susceptibility quantification, a threshold-based k-space/image domain iterative approach that uses geometric information from the susceptibility map itself as a constraint to overcome the ill-posed nature of the inverse filter is introduced. Simulations were used to study the accuracy of the method and its robustness in the presence of noise. In vivo data were processed and analyzed ...

Statistical Methods for Transmission Image Reconstruction with Nonlocal Edge-Preserving Regularization

Article history: Available online 17 February 2016

Statistical analysis extracts characteristic features of an object class from raw training images