A noise reduction method for non-stationary noise model of SPECT sinogram based on Kalman filter

IEEE Nuclear Science Symposium and Medical Imaging Conference

Volumn 4, Issue , 2002, Pages 2134-2138

  Li, Xiang ^a   Lu, Hongbing ^a   Han, Guoping ^a   Liang, Zhengrong ^a  

^a STONY BROOK UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANSCOMBE TRANSFORMATION; PHOTON ATTENUATION; POISSON NOISE; SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY; WIENER FILTER;

ATTENUATION; COMPUTER SIMULATION; IMAGE QUALITY; IMAGE RECONSTRUCTION; KALMAN FILTERING; MATHEMATICAL MODELS; MONTE CARLO METHODS; OPTICAL COLLIMATORS; PHOTONS; POISSON DISTRIBUTION; RANDOM PROCESSES; SPURIOUS SIGNAL NOISE;

COMPUTERIZED TOMOGRAPHY;

EID: 0035554563     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. The transformation of poisson, binomial and negative-binomial data
2. Inclusion of a priori information in frequency space for quantitative SPECT imaging
3. Application of iterative and non-stationary smoothing filters for statistical noise reduction in nuclear medicine
4. A theoretically based approach to noise reduction in SPECT by Anscombe and K-L transforms
5. Spatio-temporal adaptive 3-D Kalman filter for video
6. Kalman filtering in two-dimensions