Final Draft of PETSIRD v1.0: A Proposed Standard for PET Raw Data

Abstract

Standardization of unprocessed raw list-mode data for emission tomography (ET) is anticipated to enable the development and optimization of novel methods including machine learning. The Emission Tomography Standardization Initiative (ETSI) was founded in 2022 by an international consortium of academic and industry experts to define open, extendable, and vendor-agnostic ET data formats, currently focusing on the development of PETSIRD (“PET Emission Tomography Standardization Initiative's Raw Data“) open standard for Positron Emission Tomography (PET) list-mode raw data. The components of PETSIRD include (i) the description of data elements (coincidence events, geometry, correction factors, physiological signal etc.), (ii) a container of the data elements architecture and its access protocols built with the investigational prototype YARDL (Microsoft Research) meta-language, (iii) a simple higher-level software library to access the data elements and (iv) use-case software toolkit facilitating the basic utility of the standard.

Authors 18

1. Kris Thielemans

   University College London

   Affiliation as printed

   University College London, Institute for Nuclear Medicine,London,United Kingdom

2. Evren Asma
   Affiliation as printed

   Canon Medical Research,Illinois,United States of America

3. Michael John Cook
   Affiliation as printed

   GE Healthcare,Milwaukee,United States of America

4. Nicolas A. Karakatsanis

   Cornell University · Weill Cornell Medicine

   Affiliation as printed

   Cornell University, Weill Cornell Medical College, New York,New York,United States of America

5. Adam Kesner

   Memorial Sloan Kettering Cancer Center

   Affiliation as printed

   Memorial Sloan Kettering Cancer Center, New York,New York,United States of America

6. Christoph W. Lerche

   Forschungszentrum Jülich

   Affiliation as printed

   Forschungszentrum Juelich,Juelich,Germany

7. Pawel J. Markiewicz

   London South Bank University

   Affiliation as printed

   London South Bank University, School of Computer Science and Digital Technology,London,United Kingdom

8. Joseph Naegele

   Microsoft (United States)

   Affiliation as printed

   Microsoft Research,Redmond,Washington,United States of America

9. Sven Prevrhal

   Philips (Germany)

   Affiliation as printed

   Philips Research, Hamburg,Hamburg,Germany

10. Arman Rahmim

    University of British Columbia

    Affiliation as printed

    University of British Columbia,Vancouver,Canada

11. Hamid Sabet

    Harvard University

    Affiliation as printed

    Harvard Medical School,Boston,Massachusetts,United States of America

12. Babak Saboury

    National Institutes of Health · National Institutes of Health Clinical Center

    Affiliation as printed

    National Institutes of Health, Clinical Center,Bethesda,Maryland,United States of America

13. Matthew G. Spangler‐Bickell
    Affiliation as printed

    GE Healthcare,Milwaukee,United States of America

14. J. Stairs

    Microsoft (United States)

    Affiliation as printed

    Microsoft Research,Redmond,Washington,United States of America

15. Simon Stute

    Centre Hospitalier Universitaire de Nantes · Centre de Recherche en Cancérologie et Immunologie Intégrée Nantes Angers

    Affiliation as printed

    Nantes University Hospital, CRCI2NA,Nantes,France

16. Hideaki Tashima

    National Institutes for Quantum Science and Technology

    Affiliation as printed

    National Institutes for Quantum Science and Technology,Chiba,Japan

17. K. Ziemons Aachen

    FH Aachen

    Affiliation as printed

    FH Aachen,Juelich,Germany

18. Roger Glenn Wells

    Ottawa Heart Institute

    Affiliation as printed

    University of Ottawa Heart Institute,Ottawa,Canada