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IEEE Transactions on Medical Imaging
Article . 2018 . Peer-reviewed
License: IEEE Open Access
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2018
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Evaluation of Single-Chip, Real-Time Tomographic Data Processing on FPGA SoC Devices

Authors: Grzegorz Korcyl; Piotr Bialas; Catalina Curceanu; Eryk Czerwinski; Kamil Dulski; B. Flak; Aleksander Gajos; +32 Authors
APC: 2,060.53 EUR

Evaluation of Single-Chip, Real-Time Tomographic Data Processing on FPGA SoC Devices

Abstract

A novel approach to tomographic data processing has been developed and evaluated using the Jagiellonian PET (J-PET) scanner as an example. We propose a system in which there is no need for powerful, local to the scanner processing facility, capable to reconstruct images on the fly. Instead we introduce a Field Programmable Gate Array (FPGA) System-on-Chip (SoC) platform connected directly to data streams coming from the scanner, which can perform event building, filtering, coincidence search and Region-Of-Response (ROR) reconstruction by the programmable logic and visualization by the integrated processors. The platform significantly reduces data volume converting raw data to a list-mode representation, while generating visualization on the fly.

IEEE Transactions on Medical Imaging, 17 May 2018

Countries
Poland, Austria
Keywords

system design, Physics - Instrumentation and Detectors, parallel computing, FOS: Physical sciences, Equipment Design, Instrumentation and Detectors (physics.ins-det), 102020 Medical informatics, 102020 Medizinische Informatik, Positron-Emission Tomography, Image Interpretation, Computer-Assisted, computer-aided detection and diagnosis, Nuclear imaging, Algorithms

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    59
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
59
Top 10%
Top 10%
Top 1%
Green
bronze