Abstract
We present three-dimensional (3-D) reconstruction algorithms that address fully 3-D tomographic reconstruction for a septa-less, stationary, and rectangular camera. 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 fast Fourier transform but use irregular angular sampling to minimize the number of unnormalizable zero efficiency sinogram bins. To address persisting low-efficiency bins, we perform two-dimensional (2-D) 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 2-D image in the 3DRP algorithm. We present artifact-free, essentially spatially isotropic images of Monte Carlo data with full-width at half-maximum resolutions of 1.5, 2.3, and 3.1 mm at the center, in the bulk, and in the corners of the FOV, respectively.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1524-1529 |
| Number of pages | 6 |
| Journal | IEEE Transactions on Nuclear Science |
| Volume | 48 |
| Issue number | 4 II |
| DOIs | |
| State | Published - Aug 2001 |
| Externally published | Yes |
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Keywords
- Filtered backprojection
- Positron emission tomography (PET)
- Reconstruction algorithms
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Nuclear Energy and Engineering
Cite this
3-D reconstruction in PET cameras with irregular sampling and depth of interaction. / Virador, P. R G; Moses, W. W.; Huesman, R. H.; Qi, J.
In: IEEE Transactions on Nuclear Science, Vol. 48, No. 4 II, 08.2001, p. 1524-1529.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - 3-D reconstruction in PET cameras with irregular sampling and depth of interaction
AU - Virador, P. R G
AU - Moses, W. W.
AU - Huesman, R. H.
AU - Qi, J.
PY - 2001/8
Y1 - 2001/8
N2 - We present three-dimensional (3-D) reconstruction algorithms that address fully 3-D tomographic reconstruction for a septa-less, stationary, and rectangular camera. 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 fast Fourier transform but use irregular angular sampling to minimize the number of unnormalizable zero efficiency sinogram bins. To address persisting low-efficiency bins, we perform two-dimensional (2-D) 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 2-D image in the 3DRP algorithm. We present artifact-free, essentially spatially isotropic images of Monte Carlo data with full-width at half-maximum resolutions of 1.5, 2.3, and 3.1 mm at the center, in the bulk, and in the corners of the FOV, respectively.
AB - We present three-dimensional (3-D) reconstruction algorithms that address fully 3-D tomographic reconstruction for a septa-less, stationary, and rectangular camera. 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 fast Fourier transform but use irregular angular sampling to minimize the number of unnormalizable zero efficiency sinogram bins. To address persisting low-efficiency bins, we perform two-dimensional (2-D) 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 2-D image in the 3DRP algorithm. We present artifact-free, essentially spatially isotropic images of Monte Carlo data with full-width at half-maximum resolutions of 1.5, 2.3, and 3.1 mm at the center, in the bulk, and in the corners of the FOV, respectively.
KW - Filtered backprojection
KW - Positron emission tomography (PET)
KW - Reconstruction algorithms
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UR - http://www.scopus.com/inward/citedby.url?scp=0035428821&partnerID=8YFLogxK
U2 - 10.1109/23.958391
DO - 10.1109/23.958391
M3 - Article
VL - 48
SP - 1524
EP - 1529
JO - IEEE Transactions on Nuclear Science
JF - IEEE Transactions on Nuclear Science
SN - 0018-9499
IS - 4 II
ER -