The Hardware and Signal Processing Architecture of LabPET™, a Small Animal APD-Based Digital PET Scanner
- R. Fontaine, F. Bélanger, R. Lecomte
- Computer ScienceIEEE Transactions on Nuclear Science
- 10 February 2009
A new fully digital APD-based scanner architecture is proposed wherein nuclear pulses are sampled directly at the output of the Charge Sensitive Preamplifier (CSP) with one free-running ADC per channel to explore new digital signal processing algorithms borrowed from other fields like command and control theory, as well as advanced heuristics such as neural networks.
Architecture of a dual-modality, high-resolution, fully digital positron emission tomography/computed tomography (PET/CT) scanner for small animal imaging
- R. Fontaine, F. Bélanger, R. Lecomte
- PhysicsIEEE Transactions on Nuclear Science
- 25 July 2005
Contemporary positron emission tomography (PET) scanners are commonly implemented with very large scale integration analog front-end electronics to reduce power consumption, space, noise, and cost.…
System Architecture of the LabPET Small Animal PET Scanner
- M. Tétrault, N. Viscogliosi, R. Fontaine
- Computer ScienceIEEE Transactions on Nuclear Science
- 25 November 2008
To address modern molecular imaging requirements, a digital positron emission tomography (PET) scanner for small animals has been developed at Universite de Sherbrooke. Based on individual readout of…
Real time digital signal processing implementation for an APD-based PET scanner with phoswich detectors
- R. Fontaine, M. Tétrault, R. Lecomte
- Computer ScienceIEEE-NPSS Real-Time Conference
- 26 June 2006
A highly parallel data acquisition system based on an integrated analog front-end and a high-speed fully digital signal processing section that directly samples the output of each preamplifier and feeds the sampled data into a field programmable gate array VirtexII PRO from Xilinx, which allows up to 64 channels to be processed simultaneously.
Sensitivity Increase Through a Neural Network Method for LOR Recovery of ICS Triple Coincidences in High-Resolution Pixelated- Detectors PET Scanners
- J. Michaud, M. Tétrault, R. Fontaine
- PhysicsIEEE Transactions on Nuclear Science
- 1 February 2015
Scanner sensitivity is often critical in high-resolution Positron Emission Tomography (PET) dedicated to molecular imaging. In neighboring pixelated detectors with individual readout, sensitivity…
The architecture of LabPET/spl trade/, a small animal APD-based digital PET scanner
- R. Fontaine, F. Bélanger, R. Lecomte
- Computer ScienceIEEE Nuclear Science Symposium Conference Record
- 2005
A new fully digital APD-based scanner architecture is proposed wherein nuclear pulses are sampled directly at the output of the charge sensitive preamplifier with one free-running ADC per channel, offering the opportunity to explore new digital signal processing algorithms borrowed to command and control theory, as well as advanced heuristics such as neural networks.
Crystal Identification Based on Recursive-Least-Squares and Least-Mean-Squares Auto-Regressive Models for Small Animal Pet
- H. Semmaoui, N. Viscogliosi, R. Fontaine
- Computer ScienceIEEE Transactions on Nuclear Science
- 2008
A crystal identification method based on adaptive filter theory using an auto-regressive (AR) model is proposed to enable real time crystal identification in a noisy environment.
Experimental results of identification and vector quantization algorithms for DOI measurement in digital PET scanners with phoswich detectors
- J. Michaud, R. Fontaine, R. Lecomte
- PhysicsIEEE Symposium Conference Record Nuclear Science…
- 16 October 2004
DOI measurement in phoswich PET scanners still relies mostly on traditional Pulse Shape Discrimination (PSD), transposed from analog electronics. PSD performance is limited in two conditions:…
Crystal identification based on recursive-least-squares and least-mean-squares autoregressive models for small animal PET
- H. Semmaoui, N. Viscogliosi, R. Fontaine
- Computer ScienceIEEE Nuclear Science Symposium Conference Record
- 2005
A crystal identification method based on adaptive filter theory using an auto-regressive (AR) model is proposed to enable real-time crystal identification in a noisy environment and preliminary results based on MatLab simulation demonstrate a high discrimination accuracy.
Sensitivity in PET: Neural networks as an alternative to compton photons LOR analysis
- J. Michaud, Charles-Antoine Brunet, M. Rafecas, R. Lecomte, R. Fontaine
- Computer ScienceIEEE Nuclear Science Symposium Conference Record
- 1 October 2007
An artificial neural network (ANN) approach is proposed, which forfeits all explicit handling of equations at the expense of a priori statistical training, and which has the potential to better handle the previous measurement impairments.
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