3D reconstruction in PET cameras with irregular sampling and depth of interaction
We present 3D reconstruction algorithms that address fully 3D tomographic reconstruction using septa-less, stationary, and rectangular cameras. The field of view (FOV) encompasses the entire volume enclosed by detector modules capable of measuring depth of interaction (DOI). The Filtered Backprojection based algorithms incorporate DOI, accommodate irregular sampling, and minimize interpolation in the data by defining lines of response between the measured interaction points. We use fixed-width, evenly spaced radial bins in order to use the FFT, but use irregular angular sampling to minimize the number of unnormalizable zero efficiency sinogram bins. To address persisting low efficiency bins, we perform 2D nearest neighbor radial smoothing, employ a semi-iterative procedure to estimate the unsampled data, and mash the ''in plane'' and the first oblique projections to reconstruct the 2D image in the 3DRP algorithm. We present artifact free, essentially spatially isotropic images of Monte Carlo data with FWHM resolutions o 1.50 mm. 2.25 mm, and 3.00 mm at the center, in the bulk, and at the edges and corners of the FOV respectively.
- Research Organization:
- Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
- Sponsoring Organization:
- USDOE Director, Office of Science. Office of Biological and Environmental Research. Medical Sciences Division; National Institutes of Health (US)
- DOE Contract Number:
- AC03-76SF00098
- OSTI ID:
- 789136
- Report Number(s):
- LBNL-47102; R&D Project: 445001; TRN: US0111396
- Resource Relation:
- Conference: 2000 IEEE Nuclear Science Symposium, Lyon (FR), 10/15/2000--10/20/2000; Other Information: PBD: 4 Nov 2000
- Country of Publication:
- United States
- Language:
- English
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