Abstract
Motion artifacts can be a significant factor that limits the image quality in high-resolution PET. Surveillance systems have been developed to track the movements of the subject during a scan. Development of reconstruction algorithms that are able to compensate for the subject motion will increase the potential of PET. In this paper we present a list mode likelihood reconstruction algorithm with the ability of motion compensation. The subject motion is explicitly modeled in the likelihood function. The detections of each detector pair are modeled as a Poisson process with time-varying rate function. The proposed method has several advantages over the existing methods. It uses all detected events and does not introduce any interpolation error. Computer simulations show that the proposed method can compensate simulated subject movements and that the reconstructed images have no visible motion artifacts.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - International Symposium on Biomedical Imaging |
| Publisher | IEEE Computer Society |
| Pages | 413-416 |
| Number of pages | 4 |
| Volume | 2002-January |
| ISBN (Print) | 078037584X |
| DOIs | |
| State | Published - 2002 |
| Externally published | Yes |
| Event | IEEE International Symposium on Biomedical Imaging, ISBI 2002 - Washington, United States Duration: Jul 7 2002 → Jul 10 2002 |
Other
| Other | IEEE International Symposium on Biomedical Imaging, ISBI 2002 |
|---|---|
| Country | United States |
| City | Washington |
| Period | 7/7/02 → 7/10/02 |
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ASJC Scopus subject areas
- Biomedical Engineering
- Radiology Nuclear Medicine and imaging
Cite this
List mode reconstruction for pet with motion compensation : A simulation study. / Qi, Jinyi; Huesman, Ronald H.
Proceedings - International Symposium on Biomedical Imaging. Vol. 2002-January IEEE Computer Society, 2002. p. 413-416 1029282.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - List mode reconstruction for pet with motion compensation
T2 - A simulation study
AU - Qi, Jinyi
AU - Huesman, Ronald H.
PY - 2002
Y1 - 2002
N2 - Motion artifacts can be a significant factor that limits the image quality in high-resolution PET. Surveillance systems have been developed to track the movements of the subject during a scan. Development of reconstruction algorithms that are able to compensate for the subject motion will increase the potential of PET. In this paper we present a list mode likelihood reconstruction algorithm with the ability of motion compensation. The subject motion is explicitly modeled in the likelihood function. The detections of each detector pair are modeled as a Poisson process with time-varying rate function. The proposed method has several advantages over the existing methods. It uses all detected events and does not introduce any interpolation error. Computer simulations show that the proposed method can compensate simulated subject movements and that the reconstructed images have no visible motion artifacts.
AB - Motion artifacts can be a significant factor that limits the image quality in high-resolution PET. Surveillance systems have been developed to track the movements of the subject during a scan. Development of reconstruction algorithms that are able to compensate for the subject motion will increase the potential of PET. In this paper we present a list mode likelihood reconstruction algorithm with the ability of motion compensation. The subject motion is explicitly modeled in the likelihood function. The detections of each detector pair are modeled as a Poisson process with time-varying rate function. The proposed method has several advantages over the existing methods. It uses all detected events and does not introduce any interpolation error. Computer simulations show that the proposed method can compensate simulated subject movements and that the reconstructed images have no visible motion artifacts.
UR - http://www.scopus.com/inward/record.url?scp=84948671823&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84948671823&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2002.1029282
DO - 10.1109/ISBI.2002.1029282
M3 - Conference contribution
SN - 078037584X
VL - 2002-January
SP - 413
EP - 416
BT - Proceedings - International Symposium on Biomedical Imaging
PB - IEEE Computer Society
ER -