Maximum-Likelihood Event Parameter Estimation from Digital Waveform Capture

Neil C. Momsen; Garrett Richards; Matthew A Kupinski; Harrison H Barrett; Lars R Furenlid

doi:10.1109/NSSMIC.2017.8532611

Maximum-Likelihood Event Parameter Estimation from Digital Waveform Capture

Neil C. Momsen, Garrett Richards, Matthew A Kupinski, Harrison H Barrett, Lars R Furenlid

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

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	https://doi.org/10.1109/NSSMIC.2017.8532611
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

ASJC Scopus subject areas

Instrumentation
Radiology Nuclear Medicine and imaging
Nuclear and High Energy Physics

Access to Document

10.1109/NSSMIC.2017.8532611

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Cite this

Momsen, N. C., Richards, G., Kupinski, M. A., Barrett, H. H., & Furenlid, L. R. (2018). Maximum-Likelihood Event Parameter Estimation from Digital Waveform Capture. In 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings [8532611] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSSMIC.2017.8532611

Maximum-Likelihood Event Parameter Estimation from Digital Waveform Capture. / Momsen, Neil C.; Richards, Garrett; Kupinski, Matthew A ; Barrett, Harrison H ; Furenlid, Lars R.

2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2018. 8532611.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Momsen, NC, Richards, G, Kupinski, MA , Barrett, HH & Furenlid, LR 2018, Maximum-Likelihood Event Parameter Estimation from Digital Waveform Capture. in 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017 - Conference Proceedings., 8532611, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2017, Atlanta, United States, 10/21/17. https://doi.org/10.1109/NSSMIC.2017.8532611

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