Abstract
Advances in emission imaging detector hard-ware and modeling have allowed on-the-fly maximum likelihood photon event attribute estimation [1]. Such detectors lead to an infinite d imensional s ystem m odel c alled the Photon Processing model [2], [3], [4]. In this work we extend the Fourier crosstalk matrix formalism [5] to photon processing systems to compare the performance of such detectors to classical pixelated photon-counting detectors for the task of estimating object Fourier coefficients. In a preliminary study we have computed crosstalk matrices for a class of 2D pinhole SPECT systems; in this setting, the photon processing detector outperforms a pixelated detector with pixel size equal to the full width half maximum of the position estimation blur.
| Original language | English (US) |
|---|---|
| Title of host publication | 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781538622827 |
| DOIs | |
| State | Published - Nov 12 2018 |
| Event | 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Atlanta, United States Duration: Oct 21 2017 → Oct 28 2017 |
Other
| Other | 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 |
|---|---|
| Country | United States |
| City | Atlanta |
| Period | 10/21/17 → 10/28/17 |
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ASJC Scopus subject areas
- Instrumentation
- Radiology Nuclear Medicine and imaging
- Nuclear and High Energy Physics
Cite this
Evaluation of Photon Processing Detectors using the Fourier Crosstalk Matrix. / Henscheid, Nick; Jha, Abhinav Kumar; Barrett, Harrison H.
2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8533055.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Evaluation of Photon Processing Detectors using the Fourier Crosstalk Matrix
AU - Henscheid, Nick
AU - Jha, Abhinav Kumar
AU - Barrett, Harrison H.
PY - 2018/11/12
Y1 - 2018/11/12
N2 - Advances in emission imaging detector hard-ware and modeling have allowed on-the-fly maximum likelihood photon event attribute estimation [1]. Such detectors lead to an infinite d imensional s ystem m odel c alled the Photon Processing model [2], [3], [4]. In this work we extend the Fourier crosstalk matrix formalism [5] to photon processing systems to compare the performance of such detectors to classical pixelated photon-counting detectors for the task of estimating object Fourier coefficients. In a preliminary study we have computed crosstalk matrices for a class of 2D pinhole SPECT systems; in this setting, the photon processing detector outperforms a pixelated detector with pixel size equal to the full width half maximum of the position estimation blur.
AB - Advances in emission imaging detector hard-ware and modeling have allowed on-the-fly maximum likelihood photon event attribute estimation [1]. Such detectors lead to an infinite d imensional s ystem m odel c alled the Photon Processing model [2], [3], [4]. In this work we extend the Fourier crosstalk matrix formalism [5] to photon processing systems to compare the performance of such detectors to classical pixelated photon-counting detectors for the task of estimating object Fourier coefficients. In a preliminary study we have computed crosstalk matrices for a class of 2D pinhole SPECT systems; in this setting, the photon processing detector outperforms a pixelated detector with pixel size equal to the full width half maximum of the position estimation blur.
UR - http://www.scopus.com/inward/record.url?scp=85058455432&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85058455432&partnerID=8YFLogxK
U2 - 10.1109/NSSMIC.2017.8533055
DO - 10.1109/NSSMIC.2017.8533055
M3 - Conference contribution
AN - SCOPUS:85058455432
BT - 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -