Usability of PETSIRD, the PET Raw Data open format of the Emission Tomography Standardization Initiative (ETSI): results from ETSI’ s first hackathon

Nicolas Karakatsanis, David Atkinson, Camilo Buscaron, Ju-Chieh Kevin Cheng, Aurélien Coussat, Daniel Deidda, Nikos Efthimiou, Ezzat Elmoujarkach, Fedor Goncharov, Fang Han, Michael Hansen, Markus Jehl, Nicole Jurjew, Adam Kesner, Eve Lennie, Aaron McFarland, Johan Nuyts, Luke Polson, Arman Rahmim, Erik ReimersGeorg Schramm, Imraj Singh, Georgios Soultanidis, Matthew Spangler-Bickell, John Stairs, Simon Stute, Maxime Toussaint, Robert Twyman, Hong Phuc Vo, R. Glenn Wells, Kris Thielemans

Abstract

With the advent of Positron Emission Tomography (PET) scanners of increasingly higher sensitivity alongside the evolving capacity of Artificial Intelligence (AI) to support Nuclear Medicine, the opportunity for accessing high fidelity information through standardized PET raw data has become apparent. The Emission Tomography Standardization Initiative (ETSI) was founded in 2022 from an international consortium of nuclear medicine experts to define open, extendable, standardized and vendor-agnostic formats of emission tomography raw data. Currently, the initiative focuses on developing the PET ETSI Raw Data (PETSIRD) list-mode format comprised of (i) data elements (e.g. coincidence events, geometry, correction factors, etc.), (ii) a container describing the element’s structure and the protocols for access, storage and transfer using Microsoft Research YARDL meta-language, and (iii) a use-cases software library. We report on the progress of developing use-case applications for generating, accessing and processing PETSIRD data.
Original languageEnglish
Publication statusPublished - 2024

Research Areas and Centers

  • Academic Focus: Biomedical Engineering

DFG Research Classification Scheme

  • 2.22-32 Medical Physics, Biomedical Technology

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