Title
Spatiotemporal Reconstruction Of List-Mode Pet Data
Abstract
We describe a method for computing a continuous time estimate of tracer density using list-mode positron emission tomography data. The rate function in each voxel is modeled as an inhomogeneous Poisson process whose rate function can be represented using a cubic B-spline basis. The rate functions are estimated by maximizing the likelihood of the arrival times of detected photon pairs over the control vertices of the spline, modified by quadratic spatial and temporal smoothness penalties and a penalty term to enforce nonnegativity. Randoms rate functions are estimated by assuming independence between the spatial and temporal randoms distributions. Similarly, scatter rate functions are estimated by assuming spatiotemporal independence and that the temporal distribution of the scatter is proportional to the temporal distribution of the trues. A quantitative evaluation was performed using simulated data and the method is also demonstrated in a human study using C-11-raclopride.
Year
DOI
Venue
2002
10.1109/TMI.2002.1000263
IEEE TRANSACTIONS ON MEDICAL IMAGING
Keywords
Field
DocType
calibration, conjugate gradient methods, estimation, poisson processes, smoothing methods, spline functions
Iterative reconstruction,Spline (mathematics),Voxel,Mathematical optimization,Quadratic equation,Algorithm,Stochastic process,Statistics,Smoothness,Rate function,Mathematics,Positron
Journal
Volume
Issue
ISSN
21
4
0278-0062
Citations 
PageRank 
References 
42
3.22
8
Authors
4
Name
Order
Citations
PageRank
Thomas E. Nichols12802282.80
Jinyi Qi228435.82
Evren Asma3728.01
Richard M Leahy41768295.29