Tomography deals with the reconstruction of images from their projections. In this paper we focus on tomographic reconstruction of binary images (i.e., black-and-white) that do not have an intrinsic lattice structure from a small number of projections. We describe how the reconstruction problem from only two projections can be formulated as a network flow problem in a graph, which can be solved...

Algebraic Reconstruction Technique (ART) is an iterative algorithm to obtain reconstruction from projections in a finite number of iterations. The present paper discuses the convergence achieved in small number of iteration even when projection data is available in only four directions. Keywords-ART, Image Reconstruction, Convergence, Projections, Computed Tomography

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.

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