TY - GEN
T1 - Maximum-Likelihood Event Parameter Estimation from Digital Waveform Capture
AU - Momsen, Neil C.
AU - Richards, Garrett
AU - Kupinski, Matthew A.
AU - Barrett, Harrison H.
AU - Furenlid, Lars R.
N1 - Funding Information:
Manuscript received November 17, 2017. This work was partially supported by the NIH/NIBIB Grant P41-EB002035 “The Center for Gamma-Ray Imaging”. Neil Momsen was partially supported by grants: Biomedical Imaging and Spectroscopy Fellowship, NIH T32-EB000809, and Cardiovascular Training Grant, NIH T32HL007955. The contents are solely the responsibility of the authors and do not necessarily represent the official views of the National Institutes of Health.
Funding Information:
This work was partially supported by the NIH/NIBIB Grant P41-EB002035 “The Center for Gamma-Ray Imaging”. Neil Momsen was partially supported by grants: Biomedical Imaging and Spectroscopy Fellowship, NIH T32-EB000809, and Cardiovascular Training Grant, NIH T32HL007955.
Publisher Copyright:
© 2017 IEEE.
PY - 2018/11/12
Y1 - 2018/11/12
N2 - A preclinical Single Photon Emission Computed Tomography (SPECT) system design is presented, that will be used in rabbit myocardial perfusion and related cardiac studies. The system includes digital-waveform capture of all PMT signals, which allows for optimal maximum-likelihood estimation in the gamma-ray event parameter estimation and tomographic reconstruction processes. In a typical gamma ray camera, only the integrated signal of a gamma ray event is recorded. Here, because the entire waveform is recorded, it is possible to incorporate information from the waveform shape into the maximum-likelihood estimation. A likelihood model for incorporating waveforms in estimating event parameters (x, y, z, energy, and time) is explored. The detector, a full-size clinical SPECT camera with 61 PMTs, was retrofitted with an array of active buffers that tap into raw low-level signals before they reach the Anger-logic network. Methods for system calibration and integration are discussed, along with predictions and measurements of system performance.
AB - A preclinical Single Photon Emission Computed Tomography (SPECT) system design is presented, that will be used in rabbit myocardial perfusion and related cardiac studies. The system includes digital-waveform capture of all PMT signals, which allows for optimal maximum-likelihood estimation in the gamma-ray event parameter estimation and tomographic reconstruction processes. In a typical gamma ray camera, only the integrated signal of a gamma ray event is recorded. Here, because the entire waveform is recorded, it is possible to incorporate information from the waveform shape into the maximum-likelihood estimation. A likelihood model for incorporating waveforms in estimating event parameters (x, y, z, energy, and time) is explored. The detector, a full-size clinical SPECT camera with 61 PMTs, was retrofitted with an array of active buffers that tap into raw low-level signals before they reach the Anger-logic network. Methods for system calibration and integration are discussed, along with predictions and measurements of system performance.
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U2 - 10.1109/NSSMIC.2017.8532611
DO - 10.1109/NSSMIC.2017.8532611
M3 - Conference contribution
AN - SCOPUS:85058493192
T3 - 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings
BT - 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017
Y2 - 21 October 2017 through 28 October 2017
ER -