Abstract
In this work, we used the ideal observer (IO) and IO with model mismatch (IO-MM) applied in the projection domain and an anthropomorphic Channelized Hotelling Observer (CHO) applied to reconstructed images to optimize the acquisition energy window width and evaluate various scatter compensation methods in the context of a myocardial perfusion SPECT defect detection task. The IO has perfect knowledge of the image formation process and thus reflects performance with perfect compensation for image-degrading factors. Thus, using the IO to optimize imaging systems could lead to suboptimal parameters compared to those optimized for humans interpreting SPECT images reconstructed with imperfect or no compensation. The IO-MM allows incorporating imperfect system models into the IO optimization process. We found that with near-perfect scatter compensation, the optimal energy window for the IO and CHO were similar; in its absence the IO-MM gave a better prediction of the optimal energy window for the CHO using different scatter compensation methods. These data suggest that the IO-MM may be useful for projection-domain optimization when model mismatch is significant, and that the IO is useful when followed by reconstruction with good models of the image formation process.
| Original language | English (US) |
|---|---|
| Title of host publication | Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment |
| Publisher | SPIE |
| Volume | 9416 |
| ISBN (Print) | 9781628415063 |
| DOIs | |
| State | Published - 2015 |
| Event | Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment - Orlando, United States Duration: Feb 25 2015 → Feb 26 2015 |
Other
| Other | Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment |
|---|---|
| Country | United States |
| City | Orlando |
| Period | 2/25/15 → 2/26/15 |
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Keywords
- anthropomorphic observer
- model mismatch
- scatter compensation and SPECT
- The ideal observer
ASJC Scopus subject areas
- Atomic and Molecular Physics, and Optics
- Electronic, Optical and Magnetic Materials
- Biomaterials
- Radiology Nuclear Medicine and imaging
Cite this
Optimization of energy window and evaluation of scatter compensation methods in MPS using the ideal observer with model mismatch. / Ghaly, Mickel; Links, Jonathan M; Frey, Eric.
Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment. Vol. 9416 SPIE, 2015. 94160N.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Optimization of energy window and evaluation of scatter compensation methods in MPS using the ideal observer with model mismatch
AU - Ghaly, Mickel
AU - Links, Jonathan M
AU - Frey, Eric
PY - 2015
Y1 - 2015
N2 - In this work, we used the ideal observer (IO) and IO with model mismatch (IO-MM) applied in the projection domain and an anthropomorphic Channelized Hotelling Observer (CHO) applied to reconstructed images to optimize the acquisition energy window width and evaluate various scatter compensation methods in the context of a myocardial perfusion SPECT defect detection task. The IO has perfect knowledge of the image formation process and thus reflects performance with perfect compensation for image-degrading factors. Thus, using the IO to optimize imaging systems could lead to suboptimal parameters compared to those optimized for humans interpreting SPECT images reconstructed with imperfect or no compensation. The IO-MM allows incorporating imperfect system models into the IO optimization process. We found that with near-perfect scatter compensation, the optimal energy window for the IO and CHO were similar; in its absence the IO-MM gave a better prediction of the optimal energy window for the CHO using different scatter compensation methods. These data suggest that the IO-MM may be useful for projection-domain optimization when model mismatch is significant, and that the IO is useful when followed by reconstruction with good models of the image formation process.
AB - In this work, we used the ideal observer (IO) and IO with model mismatch (IO-MM) applied in the projection domain and an anthropomorphic Channelized Hotelling Observer (CHO) applied to reconstructed images to optimize the acquisition energy window width and evaluate various scatter compensation methods in the context of a myocardial perfusion SPECT defect detection task. The IO has perfect knowledge of the image formation process and thus reflects performance with perfect compensation for image-degrading factors. Thus, using the IO to optimize imaging systems could lead to suboptimal parameters compared to those optimized for humans interpreting SPECT images reconstructed with imperfect or no compensation. The IO-MM allows incorporating imperfect system models into the IO optimization process. We found that with near-perfect scatter compensation, the optimal energy window for the IO and CHO were similar; in its absence the IO-MM gave a better prediction of the optimal energy window for the CHO using different scatter compensation methods. These data suggest that the IO-MM may be useful for projection-domain optimization when model mismatch is significant, and that the IO is useful when followed by reconstruction with good models of the image formation process.
KW - anthropomorphic observer
KW - model mismatch
KW - scatter compensation and SPECT
KW - The ideal observer
UR - http://www.scopus.com/inward/record.url?scp=84932122295&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84932122295&partnerID=8YFLogxK
U2 - 10.1117/12.2081043
DO - 10.1117/12.2081043
M3 - Conference contribution
AN - SCOPUS:84932122295
SN - 9781628415063
VL - 9416
BT - Medical Imaging 2015: Image Perception, Observer Performance, and Technology Assessment
PB - SPIE
ER -