Title :
A bounded error estimation approach to image reconstruction
Author :
Zhang, Yong ; Hero, Alfred O., III ; Rogers, W. Leslie
Author_Institution :
Michigan Univ., Ann Arbor, MI, USA
Abstract :
A bounded error (BE) approach to image reconstruction is investigated. In this approach a bound on the measured projections errors is specified and the set of images which is consistent with both the data and the error bound is constructed. The error bound can account for both statistical noise uncertainty, e.g., due to randoms correction or other Poisson-destructive preprocessing, and model uncertainty, e.g., due to a mismodeled or uncalibrated system matrix. The consistent set of images is a set estimate of the image from which point estimates, i.e., image reconstructions can be selected
Keywords :
computerised tomography; image reconstruction; Poisson-destructive preprocessing; bounded error estimation approach; image reconstruction; measured projections errors; mismodeled system matrix; randoms correction; statistical noise uncertainty; uncalibrated system matrix; Computer errors; Ellipsoids; Error analysis; Image reconstruction; Maximum likelihood estimation; Noise measurement; State estimation; Tomography; Vectors; Yield estimation;
Conference_Titel :
Nuclear Science Symposium and Medical Imaging Conference, 1992., Conference Record of the 1992 IEEE
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-0884-0
DOI :
10.1109/NSSMIC.1992.301091
