Abstract
We have proposed a zoom-in PET system that integrates a higher-resolution detector capable of measuring depth of interaction (DOI) into an existing scanner to obtain highresolution images of a targeted region with high-sensitivity. The system acquires coincidence events between the high-resolution detector and low-resolution detectors, as well as those between the low-resolution detectors. Because of the irregular system geometry and the use of a DOI detector, the system matrix of the zoom-in PET system requires far greater storage space than that of a conventional PET scanner, which also results in long computational time for image reconstruction. To address this issue, here we propose a system matrix factorization for the zoom-in PET to reduce the storage and computational cost while maintaining the accuracy in image reconstruction. The proposed factored system matrix consists of two major components: a detector response (or sinogram blurring) matrix and a geometrical projection matrix. We present a novel method to design the geometrical component and an iterative algorithm to estimate the detector response matrix. A 2D simulation study showed that the proposed method can reduce the storage space and reconstruction time by a factor of 5 without noticeable sacrifice in image quality.
| Original language | English (US) |
|---|---|
| Title of host publication | IEEE Nuclear Science Symposium Conference Record |
| Pages | 3501-3505 |
| Number of pages | 5 |
| DOIs | |
| State | Published - 2010 |
| Event | 2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010 - Knoxville, TN, United States Duration: Oct 30 2010 → Nov 6 2010 |
Other
| Other | 2010 IEEE Nuclear Science Symposium, Medical Imaging Conference, NSS/MIC 2010 and 17th International Workshop on Room-Temperature Semiconductor X-ray and Gamma-ray Detectors, RTSD 2010 |
|---|---|
| Country | United States |
| City | Knoxville, TN |
| Period | 10/30/10 → 11/6/10 |
Fingerprint
ASJC Scopus subject areas
- Radiation
- Nuclear and High Energy Physics
- Radiology Nuclear Medicine and imaging
Cite this
Efficient system modeling of a high-resolution zoom-in PET scanner. / Zhou, Jian; Qi, Jinyi.
IEEE Nuclear Science Symposium Conference Record. 2010. p. 3501-3505 5874457.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Efficient system modeling of a high-resolution zoom-in PET scanner
AU - Zhou, Jian
AU - Qi, Jinyi
PY - 2010
Y1 - 2010
N2 - We have proposed a zoom-in PET system that integrates a higher-resolution detector capable of measuring depth of interaction (DOI) into an existing scanner to obtain highresolution images of a targeted region with high-sensitivity. The system acquires coincidence events between the high-resolution detector and low-resolution detectors, as well as those between the low-resolution detectors. Because of the irregular system geometry and the use of a DOI detector, the system matrix of the zoom-in PET system requires far greater storage space than that of a conventional PET scanner, which also results in long computational time for image reconstruction. To address this issue, here we propose a system matrix factorization for the zoom-in PET to reduce the storage and computational cost while maintaining the accuracy in image reconstruction. The proposed factored system matrix consists of two major components: a detector response (or sinogram blurring) matrix and a geometrical projection matrix. We present a novel method to design the geometrical component and an iterative algorithm to estimate the detector response matrix. A 2D simulation study showed that the proposed method can reduce the storage space and reconstruction time by a factor of 5 without noticeable sacrifice in image quality.
AB - We have proposed a zoom-in PET system that integrates a higher-resolution detector capable of measuring depth of interaction (DOI) into an existing scanner to obtain highresolution images of a targeted region with high-sensitivity. The system acquires coincidence events between the high-resolution detector and low-resolution detectors, as well as those between the low-resolution detectors. Because of the irregular system geometry and the use of a DOI detector, the system matrix of the zoom-in PET system requires far greater storage space than that of a conventional PET scanner, which also results in long computational time for image reconstruction. To address this issue, here we propose a system matrix factorization for the zoom-in PET to reduce the storage and computational cost while maintaining the accuracy in image reconstruction. The proposed factored system matrix consists of two major components: a detector response (or sinogram blurring) matrix and a geometrical projection matrix. We present a novel method to design the geometrical component and an iterative algorithm to estimate the detector response matrix. A 2D simulation study showed that the proposed method can reduce the storage space and reconstruction time by a factor of 5 without noticeable sacrifice in image quality.
UR - http://www.scopus.com/inward/record.url?scp=79960315276&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79960315276&partnerID=8YFLogxK
U2 - 10.1109/NSSMIC.2010.5874457
DO - 10.1109/NSSMIC.2010.5874457
M3 - Conference contribution
AN - SCOPUS:79960315276
SN - 9781424491063
SP - 3501
EP - 3505
BT - IEEE Nuclear Science Symposium Conference Record
ER -