Quantitative evaluation of ASiR image quality: an adaptive statistical iterative reconstruction technique

TitleQuantitative evaluation of ASiR image quality: an adaptive statistical iterative reconstruction technique
Publication TypeConference Paper
Year of Publication2012
AuthorsVan de Casteele, E., P. M. Parizel, and J. Sijbers
Conference NameSPIE Medical Imaging
Volume8313
Date Published02/2012
Abstract

Adaptive statistical iterative reconstruction (ASiR) is a new algorithm used in medical X-ray imaging. It combines the standard FBP and the strength of iterative reconstruction by including a noise model in the reconstruction scheme. In this paper the effect of ASiR on the contrast to noise ratio (CNR) is studied using a low contrast phantom (Catphan). The experiments were done at different voltages and currents. The results show reduced noise and increased contrast for the ASiR reconstructions compared to FBP. For the same CNR the images from ASiR are obtained using 60% less current, leading to a 60% dose reduction.

DOI10.1117/12.911283
Research area: