Exploring the potential of cycloidal computed tomography for advancing intraoperative specimen imaging

Abstract

A preliminary investigation into the use of cycloidal computed tomography for intraoperative specimen imaging is presented. Intraoperative imaging is applied in time-sensitive clinical settings, where obtaining a high-resolution, highquality image within minutes is paramount in evaluating the success of operations and/or the need for additional surgery. As a flexible imaging method that is compatible with x-ray phase contrast imaging, cycloidal computed tomography can provide both high spatial resolution and high image contrast, whilst keeping scan times short thanks to an effective under-sampling approach. To gather early evidence, the method was tested on resected breast and oesophageal tissue. The results, although preliminary, indicate that cycloidal imaging may indeed be beneficial for intraoperative specimen imaging, although further studies are required to confirm this potential.

Authors 15

1. Oriol Roche i Morgó

   University College London

   Affiliation as printed

   Univ. College London (United Kingdom)

2. Lorenzo Massimi

   University College London

   Affiliation as printed

   Univ. College London (United Kingdom)

3. Tamara D. Suaris

   St Bartholomew's Hospital

   Affiliation as printed

   St. Bartholomew's Hospital (United Kingdom)

4. Marco Endrizzi

   University College London

   Affiliation as printed

   Univ. College London (United Kingdom)

5. Peter R. T. Munro

   University College London

   Affiliation as printed

   Univ. College London (United Kingdom)

6. Glafkos Havariyoun

   University College London

   Affiliation as printed

   Univ. College London (United Kingdom)

7. P. M. Sam Hawker

   Nikon (United Kingdom)

   Affiliation as printed

   Nikon Metrology UK Ltd. (United Kingdom)

8. Alberto Astolfo

   Nikon (United Kingdom)

   Affiliation as printed

   Nikon Metrology UK Ltd. (United Kingdom)

9. Oliver J. Larkin

   Nikon (United Kingdom)

   Affiliation as printed

   Nikon Metrology UK Ltd. (United Kingdom)

10. Rachel L. Nelan

    Queen Mary University of London

    Affiliation as printed

    Barts and The London School of Medicine and Dentistry (United Kingdom)

11. J. Louise Jones

    St Bartholomew's Hospital · Queen Mary University of London

    Affiliation as printed

    Barts and The London School of Medicine and Dentistry (United Kingdom)

    St. Bartholomew's Hospital (United Kingdom)

12. Daniël M. Pelt Aachen Leiden Institute of Advanced Computer Science

    Leiden University

    Affiliation as printed

    Leiden Institute of Advanced Computer Science (Netherlands)

13. David M. Bate

    Nikon (United Kingdom) · University College London

    Affiliation as printed

    Nikon Metrology UK Ltd. (United Kingdom)

    Univ. College London (United Kingdom)

14. Alessandro Olivo

    University College London

    Affiliation as printed

    Univ. College London (United Kingdom)

15. Charlotte Klara Hagen

    University College London

    Affiliation as printed

    Univ. College London (United Kingdom)