Variance prediction in SPECT reconstruction based on the Fisher information using a novel angular blurring algorithm for computation of the system matrix
- Resource Type
- Conference
- Authors
- Bousse, Alexandre; Erlandsson, Kjell; Fuin, Niccolo; Salvado, Debora; Hutton, Brian F.
- Source
- 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC) Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2013 IEEE. :1-6 Oct, 2013
- Subject
- Nuclear Engineering
Approximation methods
Detectors
Single photon emission computed tomography
Image reconstruction
Attenuation
Sensitivity
Gaussian distribution
SPECT
pinhole SPECT
slit-slat SPECT
system matrix
Fisher information
parametric estimation
- Language
- ISSN
- 1082-3654
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 2×2 multi-pinhole and 2 slits slit-slat systems achieve lowest variance.