Abstract
The adaptive single-photon emission computed tomography (SPECT) system studied here acquires an initial scout image to obtain preliminary information about the object. Then the configuration is adjusted by selecting the size of the pinhole and the magnification that optimize system performance on an ensemble of virtual objects generated to be consistent with the scout data. In this study the object is a lumpy background that contains a Gaussian signal with a variable width and amplitude. The virtual objects in the ensemble are imaged by all of the available configurations and the subsequent images are evaluated with the scanning linear estimator to obtain an estimate of the signal width and amplitude. The ensemble mean squared error (EMSE) on the virtual ensemble between the estimated and the true parameters serves as the performance figure of merit for selecting the optimum configuration. The results indicate that variability in the original object background, noise and signal parameters leads to a specific optimum configuration in each case. A statistical study carried out for a number of objects show that the adaptive system on average performs better than its nonadaptive counterpart.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
| Publisher | SPIE |
| Volume | 9594 |
| ISBN (Print) | 9781628417609 |
| DOIs | |
| State | Published - 2015 |
| Event | Medical Applications of Radiation Detectors V - San Diego, United States Duration: Aug 12 2015 → Aug 13 2015 |
Other
| Other | Medical Applications of Radiation Detectors V |
|---|---|
| Country | United States |
| City | San Diego |
| Period | 8/12/15 → 8/13/15 |
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Keywords
- Adaptive imaging
- optimization
- Scanning Linear Estimator
- SPECT
ASJC Scopus subject areas
- Applied Mathematics
- Computer Science Applications
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
Cite this
Optimization of an adaptive SPECT system with the scanning linear estimator. / Ghanbari, Nasrin; Clarkson, Eric W; Kupinski, Matthew A; Li, Xin.
Proceedings of SPIE - The International Society for Optical Engineering. Vol. 9594 SPIE, 2015. 95940A.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Optimization of an adaptive SPECT system with the scanning linear estimator
AU - Ghanbari, Nasrin
AU - Clarkson, Eric W
AU - Kupinski, Matthew A
AU - Li, Xin
PY - 2015
Y1 - 2015
N2 - The adaptive single-photon emission computed tomography (SPECT) system studied here acquires an initial scout image to obtain preliminary information about the object. Then the configuration is adjusted by selecting the size of the pinhole and the magnification that optimize system performance on an ensemble of virtual objects generated to be consistent with the scout data. In this study the object is a lumpy background that contains a Gaussian signal with a variable width and amplitude. The virtual objects in the ensemble are imaged by all of the available configurations and the subsequent images are evaluated with the scanning linear estimator to obtain an estimate of the signal width and amplitude. The ensemble mean squared error (EMSE) on the virtual ensemble between the estimated and the true parameters serves as the performance figure of merit for selecting the optimum configuration. The results indicate that variability in the original object background, noise and signal parameters leads to a specific optimum configuration in each case. A statistical study carried out for a number of objects show that the adaptive system on average performs better than its nonadaptive counterpart.
AB - The adaptive single-photon emission computed tomography (SPECT) system studied here acquires an initial scout image to obtain preliminary information about the object. Then the configuration is adjusted by selecting the size of the pinhole and the magnification that optimize system performance on an ensemble of virtual objects generated to be consistent with the scout data. In this study the object is a lumpy background that contains a Gaussian signal with a variable width and amplitude. The virtual objects in the ensemble are imaged by all of the available configurations and the subsequent images are evaluated with the scanning linear estimator to obtain an estimate of the signal width and amplitude. The ensemble mean squared error (EMSE) on the virtual ensemble between the estimated and the true parameters serves as the performance figure of merit for selecting the optimum configuration. The results indicate that variability in the original object background, noise and signal parameters leads to a specific optimum configuration in each case. A statistical study carried out for a number of objects show that the adaptive system on average performs better than its nonadaptive counterpart.
KW - Adaptive imaging
KW - optimization
KW - Scanning Linear Estimator
KW - SPECT
UR - http://www.scopus.com/inward/record.url?scp=84951191742&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84951191742&partnerID=8YFLogxK
U2 - 10.1117/12.2195782
DO - 10.1117/12.2195782
M3 - Conference contribution
AN - SCOPUS:84951191742
SN - 9781628417609
VL - 9594
BT - Proceedings of SPIE - The International Society for Optical Engineering
PB - SPIE
ER -