Variance prediction in SPECT reconstruction based on the Fisher information using a novel angular blurring algorithm for computation of the system matrix

Authors

Alexandre B. Bousse, University College London
Kjell Erlandsson, University College London
Niccolo Fuin, University College London Hospitals
Debora Salvado, University College London
Brian F. Hutton, University of Wollongong, University College London

RIS ID

91949

Publication Details

Bousse, A., Erlandsson, K., Fuin, N., Salvado, D. & Hutton, B. F. (2013). Variance prediction in SPECT reconstruction based on the Fisher information using a novel angular blurring algorithm for computation of the system matrix. Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2013 IEEE (pp. 1-6). United States: Institute of Electrical and Electronics Engineers.

Abstract

In this paper we propose a Gaussian decomposition approach to compute the SPECT imaging system matrix. The flexibility of our method allows the implementation of a wide range of imaging systems. With the system matrix, we predict the variance in reconstructed images using the Fisher information matrix and local block circulant approximation. We present results of noise prediction for 3 multi-pinhole systems and 3 multi-slit slit-slat systems, each of them being designed to be inserted in an MRI system. Results show that for a particular phantom 2x2 multi-pinhole and 2 slits slit-slat systems achieve lowest variance. 2013 IEEE.