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) |
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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 |
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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