Fast iterative reconstructions for animal CT

Fast System Matrix Calculation in CT Iterative Reconstruction

Introduction: Iterative reconstruction techniques provide better image quality and have the potential for reconstructions with lower imaging dose than classical methods in computed tomography (CT). However, the computational speed is major concern for these iterative techniques. The system matrix calculation during the forward- and back projection is one of the most time- cons...

Evaluation of state-of-the-art hardware architectures for fast cone-beam CT reconstructions

Now welcome, the most inspiring book today from a very professional writer in the world, evaluation of state of the art hardware architectures for fast cone beam ct reconstruction. This is the book that many people in the world waiting for to publish. After the announced of this book, the book lovers are really curious to see how this book is actually. Are you one of them? That's very proper. Y...

Fast GPU-based Monte Carlo code for SPECT/CT reconstructions generates improved 177Lu images

BACKGROUND Full Monte Carlo (MC)-based SPECT reconstructions have a strong potential for correcting for image degrading factors, but the reconstruction times are long. The objective of this study was to develop a highly parallel Monte Carlo code for fast, ordered subset expectation maximum (OSEM) reconstructions of SPECT/CT images. The MC code was written in the Compute Unified Device Architect...

Can iterative reconstructions improve the detection of small hypervascular liver nodules with dual-energy CT?

Preconditioning methods for improved convergence rates in iterative reconstructions

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...