Access the full text.
Sign up today, get DeepDyve free for 14 days.
References for this paper are not available at this time. We will be adding them shortly, thank you for your patience.
Iterative reconstruction algorithms are well-known to produce high quality images. In this paper, we describe how to make these computationally demanding algorithms feasible in connection with high-resolution, cone-beam x-ray computed tomography (micro-CT) for small animals. First we outline a cost-effective approach that supports distributing the computation across a cluster of inexpensive dual-processor PCs. To a great extent, the limit on the number of cluster nodes that can be used is determined by the overhead associated with the increased number of interprocessor communications. We then introduce ordered-subsets to accelerate convergence of the reconstruction algorithm thereby reducing the number of required iterations. Finally, we use a method called focus of attention to automatically segment the projection and image data into object and background. By subsequently considering only the object data, we reduce the overall cost of the on-the-fly system matrix computation, the forward and backprojection data updates, and the global reduction operation that facilitates the interprocessor communication. We use the SIRT algorithm to illustrate our work but the methods and results presented apply to iterative reconstruction algorithms in general. The experimental data consists of the three-dimensional Shepp-Logan phantom as well as mouse data obtained from a MicroCAT™ scanner.
Journal of X-Ray Science and Technology – IOS Press
Published: Jan 1, 2004
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.