online read us now
Paper details
Number 1 - March 2014
Volume 24 - 2014
An analytical iterative statistical algorithm for image reconstruction from projections
Robert Cierniak
Abstract
The main purpose of the paper is to present a statistical model-based iterative approach to the problem of image reconstruction from projections. This originally formulated reconstruction algorithm is based on a maximum likelihood method with an objective adjusted to the probability distribution of measured signals obtained from an x-ray computed tomograph with parallel beam geometry. Various forms of objectives are tested. Experimental results show that an objective that is exactly tailored statistically yields the best results, and that the proposed reconstruction algorithm reconstructs an image with better quality than a conventional algorithm with convolution and back-projection.
Keywords
computed tomography, image reconstruction from projections, statistical reconstruction algorithm