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The effects of spacelimiting constraints on statistical image reconstruction for PET

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3 Author(s)
Chinn, G. ; Sch. of Med., California Univ., Los Angeles, CA, USA ; Farquhar, T.H. ; Huang, S.-C.

For images that are represented by a finite number of parameters, statistical methods can take advantage of oversampling in the sinogram to reduce the noise in the reconstructed images. In this study, a new statistical angular sinogram filter is introduced for spacelimited images. Algebraic equations along with an efficient method for statistical image reconstruction that accounts for the non-stationary (Poisson) noise are formulated. A computer simulation and thorax phantom study were chosen with the count levels and heart-to-thorax activity ratio comparable to that of a typical whole body PET study. Using multiple independent noise realizations, this new method was found to reduce the noise variance by 5% and 2% for computer simulations and thorax phantom, respectively without introducing any bias

Published in:

Nuclear Science Symposium, 1996. Conference Record., 1996 IEEE  (Volume:3 )

Date of Conference:

2-9 Nov 1996