12-23 October 2020
GMT timezone

Characterization of Zynq-Based Data Aquisition Architecture for the 129,024-Channel UHR PET Scanner Dedicated to Human Brain Imaging

12 Oct 2020, 16:49
Mini Oral and Poster Data Acquisition System Architectures Poster session A-01


SAMSON, Arnaud (Université de Sherbrooke)


The Ultra-High-Resolution (UHR) positron emission tomography (PET) scanner is the latest LabPET II-based device being designed at Université de Sherbrooke for imaging the human brain. This new scanner uses the already established LabPET II technology capable of sub-millimetric spatial resolution in preclinical imaging. The UHR architecture implements 129,024 detection channels. The purpose of this paper is to assess the maximum data acquisition rate achievable by the second version of the Embedded Signal Processing Unit (ESPUV2) of the UHR architecture, handling 2304 of the 129,024 channels. To achieve this goal, we built and characterized a test PCB implementing the features of the UHR DAQ. This prototype ESPUV2 reads the data generated from 768 channels and transfers them to an acquisition computer by an Ethernet link. During the preliminary testing, the data throughput reached 49.61 MB/s for continuously generated data and a mean value of 44.94 MB/s for randomly generated data.

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Primary author

SAMSON, Arnaud (Université de Sherbrooke)


LAUZIER TRÉPANIER, Pierre-Yves (IR&T) ARPIN, Louis (IR&T) BOUCHARD, Jonathan (Université de Sherbrooke) LEMAY, Joël PAULIN, Caroline (Université de Sherbrooke) Prof. LECOMTE, Roger (Université de Sherbrooke) FONTAINE, Rejean (Université de Sherbrooke)

Presentation materials