Iterative Algorithms can obtain good reconstruction image for enough Iterative times in the technique ct image reconstruction. The order method of the Weighted Distance Orthogonal (WDO) is introduced in this paper to accelerate the Iterative reconstruction, which improves greatly the access mode of ART to projection data, based on the crucial effect that the access order of projection date has ...

Computed laminography (CL) is an alternative to computed tomography if large objects are to be inspected with high resolution. This is especially true for planar objects. Algebraic reconstruction technique (ART) enhance the quality of laminographic images and permits scanning geometries which cannot be reconstructed by conventional tomosynthesis. Thus ART expands the capabilities of 3D inspecti...

We present in this work a comparison among four algorithms for transmission tomography. The algorithms are based on the formalism of POCS (Projection onto Convex Sets): ART (Algebraic Reconstruction Technique), SIRT (Simultaneous Iterative Reconstruction Technique), sequential POCS and parallel POCS. We found that the use of adequate a priori knowledge about the solutions, expressed by convex s...

Algebraic reconstruction technique (ART) is one of the popular image reconstruction techniques used in diffuse optical tomography (DOT). We investigate in this note the influence of the order in which data are accessed in ART. Simulations mimicking breast tissues in transmission geometry with contrast agent tumour enhancement were used to evaluate the image quality of the diverse projection acc...

The geometric programming problem (GP) is to minimize a posynomial g(t) = I ∑

Background It was noted early-on that non-Cartesian parallel imaging is achievable by solving the k-space data consistency equation, with inclusion of coil sensitivity profiles [1]. This iterative method which uses gridding is successful [2,3], as is radial GRAPPA [4]. Here we present the first results of algebraic reconstruction technique (ART) [5,6] which also enforces data consistency. The u...

Truly three-dimensional reconstruction from projections can be carried out by the well known ART (Algebraic Reconstruction Technique) methods. In this work we present the implementation of an additive ART algorithm based on the projections onto convex sets theory (POCS). It takes advantage of the high sparsity of the coe cient matrix allowing for an e cient paralellization. The solution has bee...

While high resolution, regularly gridded observations are generally preferred in remote sensing, actual observations are often not evenly sampled and have lower-than-desired resolution. Hence, there is an interest in resolution enhancement and image reconstruction. This paper discusses a general theory and techniques for image reconstruction and creating enhanced resolution images from irregula...

This conference contribution adapts an incremental framework for solving optimization problems of interest for sparse-view CT. From the incremental framework two algorithms are derived: one that combines a damped form of the algebraic reconstruction technique (ART) with a total-variation (TV) projection, and one that employs a modified damped ART, accounting for a weighted-quadratic data fideli...