O10: Real-time magnetic resonance cine imaging with compressed sensing and iterative reconstruction for ventricular measures: comparison with gold-standard segmented steady-state free precession Gabriel Camargo, Leticia R Sabioni, Thomas Doring, Ralph Strecker, Maria Eduarda Derenne, Vania M Naue, Tamara Rothstein, Michaela Schmidt, Michael O Zenge, Mariappan S Nadar, Ronaldo S Lima, Ilan Gottlieb

Abstract. We study the inverse boundary value problem for the Helmholtz equation using the Dirichlet-toNeumann map at selected frequencies as the data. We develop an explicit iterative reconstruction of the wavespeed using a multi-level nonlinear projected steepest descent iterative scheme in Banach spaces. We consider wavespeeds containing conormal singularities. A conditional Lipschitz estima...

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...

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...

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...

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...

In this Letter, a novel Fourier transform-based iterative method is proposed to reconstruct a refractive index distribution in an object directly from measured differential phase shifts. This reconstruction method offers distinct advantages over the analytic method in cases of noisy and/or few-view data, since the iterative scheme can easily incorporate compressive sensing and maximum likelihoo...