Spatiotemporal reconstruction of list-mode PET data
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 11C-raclopride.
- Research Organization:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- National Institutes of Health (US)
- DOE Contract Number:
- AC03-76SF00098
- OSTI ID:
- 815325
- Report Number(s):
- LBNL-50361; ITMID4; R&D Project: 80ZL01; TRN: US0304591
- Journal Information:
- IEEE Transactions on Medical Imaging, Vol. 21, Issue 4; Other Information: Journal Publication Date: April 2002; PBD: 1 Mar 2002; ISSN 0278-0062
- Country of Publication:
- United States
- Language:
- English
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