Realizing this, GE Healthcare has developed a powerful class of new reconstruction techniques designed to explicitly include the modeling of data statistics into the reconstruction. ASiR,* introduced in 2008, fi rst demonstrated the potential of advanced statistical algorithms. In 2011, Veo*§ builds upon the foundation laid by ASiR by now including accurate modeling of X-ray physics and system ...

Introduction: Quantitative evaluation is recommended to improve diagnostic ability and serial assessment of dopamine transporter (DAT) density scans. We decided to compare the ordered subsets expectation-maximization (OSEM) with filtered back-projection (FBP), and to investigate the impact of different iteration and cut-off frequencies on SBR values. Methods</stro...

PURPOSE: Non-Cartesian imaging is essential in applications such as ultra-short time-echo imaging and realtime cardiac imaging. However, reconstruction speed becomes a limitation when iterative reconstruction is desired for parallel imaging, compressed sensing or artifact correction. In this work, we propose using pruned Fast Fourier Transform (pruned FFT) to accelerate almost all fast non-Cart...

INTRODUCTION: Simultaneous multislice imaging decreases the required scan time for a given volume, which is particularly beneficial in fMRI, as well as in a variety of other applications. We propose a new method for spiral simultaneous multislice imaging that uses a z-gradient modulation during readout, along with a multiple-coil receive array. Previous methods have used a z-gradient encoding o...

A new technique which we call Iterative Redeployment of Illumination and Sensing (IRIS) is introduced and applied to See-Through-the-Wall radar imaging. IRIS is applicable to adaptive sensing scenarios where the medium is illuminated and measured multiple times using different illiminator/sensor configurations, e.g., position, bandwidth, or polarization. These configurations are adaptively sele...

With the availability of more powerful computers, iterative reconstruction algorithms are the subject of an ongoing work in the design of more efficient reconstruction algorithms for X-ray computed tomography. In this work, we show how two analytical reconstruction algorithms can be improved by correcting the corresponding reconstructions using a randomized iterative reconstruction algorithm. T...

Because of the characteristics of the tomographic inversion problem, iterative reconstruction techniques often suffer from poor convergence rates-especially at high spatial frequencies. By using preconditioning methods, the convergence properties of most iterative methods can be greatly enhanced without changing their ultimate solution. To increase reconstruction speed, spatially invariant prec...

Modern audio coding exploits the properties of the human auditory system to efficiently code speech and music signals. Perceptual domain coding is a branch of audio coding in which the signal is stored and transmitted as a set of parameters derived directly from the modeling of the human auditory system. Often, the perceptual representation is designed such that reconstruction can be achieved w...

Three-dimensional optoacoustic imaging uses detection of laser-generated thermoelastic waves with an ultrasound sensor array. Integrated acoustic signals (velocity potentials) are back projected into the source volume to give a map of absorbed laser energy. Since the number of array elements and the receiving solid angle are limited, radial back projection produces artifacts such as back projec...