Introduction: Recent studies of Computed Tomography (CT) conducted on patient dose reduction have recommended using an iterative reconstruction algorithm and mA (mili-Ampere) dose modulation. The current study aimed to evaluate Iterative Dose Reduction Algorithm (IDREAM) as an iterative reconstruction algorithm. Material and Methods: Two CT p...

While the expenses for computational power decrease, iterative reconstruction methods for x-ray computed tomography (CT) that allow the use of improved model assumptions, become more attractive. In applications for non-destructive testing one of the most common degradations of image quality with standard x-ray CT reconstruction methods is beam hardening. Techniques for beam hardening correction...

OBJECTIVE The aim of this study was to evaluate how different iterative and filtered back projection kernels affect the computed tomography (CT) numbers and low contrast detectability. METHODS Five different scans were performed at 6 different tube potentials on the same Catphan 600 phantom using approximately the same dose level and otherwise identical settings. The scans were reconstructed ...

Introduction In this abstract we advocate the concept of real-time non-Cartesian magnetic resonance imaging with minimal reconstruction delay. We focus on cardiac imaging although the presented techniques are generally applicable. Parallel imaging techniques such as SENSE [1] and k-t SENSE [2] have been available for years for realtime acquisition. Until now however, available reconstruction im...

In PET imaging listmode is an alternative for projections to store the acquisition data with more accuracy. The reconstruction starting from the listmode format requires different approaches than projection based algorithms. The ML-EM algorithm was modified to start from the listmode format. For listmode data mage degrading effects can be classified into two groups. Internal LOR effects (like a...

Parallel MRI is a fast imaging technique that enables the acquisition of highly resolved images in space. It relies on k-space undersampling and multiple receiver coils with complementary sensitivity profiles in order to reconstruct a full Field-Of-View (FOV) image. The performance of parallel imaging mainly depends on the reconstruction algorithm, which can proceed either in the original k-spa...

Iterative reconstructions for clinical PET must run fast. We describe a clinical processing method based on sinogram rebinning, Fourier rebinning for the 3D to 2D data reduction, and iterative reconstruction using the attenuation-weighted OSEM method with a projector based on a gaussian pixel model. When this approach is used, multi-bed clinical oncology scans can be ready for diagnosis within ...

  Objective(s): In SPECT, the sinogram contains scatter and lack of attenuated counts that degrade the reconstructed image quality and quantity. Many techniques for attenuation and scatter correction have been proposed. An acceptable method of correction is to incorporate effects into an iterative statistical reconstruction. Here, we propose new Maximum Likelihood Expectation Maximiz...

Abstract This study aims to determine an acquisitional and computational workflow that yields the highest quality spatio-spectral reconstructions in four-dimensional neutron tomography studies. The properties of neutrons enable unique image contrast modes, but accessing these modes requires defining energy beam, resulting long acquisition times. We seek sparse angular approaches collect order 1...