Method for co-registration of high-resolution specimen PET-CT with histopathology to improve insight into radiotracer distributions
We developed a method to co-register micro-PET-CT images of surgical specimens and WSIs with an accuracy comparable to the spatial resolution of the micro-PET images. While currently, we only applied this method to BCa specimens, we believe this method is applicable to a wide range of specimens and radiotracers, providing insight into distributions of (new) radiotracers in human malignancies at a sub-millimetre resolution.
Authors
- Luna Maris (ORCID: https://orcid.org/0000-0003-0950-2034)
- Koen Van de Vijver (ORCID: https://orcid.org/0000-0002-2026-9790)
- Menekse Göker (ORCID: https://orcid.org/0000-0003-3393-5542)
- Vincent Keereman (ORCID: https://orcid.org/0000-0001-5833-5960)
- Bliede Van den Broeck (ORCID: https://orcid.org/0000-0002-7235-9990)
- Jo Van Dorpe (ORCID: https://orcid.org/0000-0001-8175-2930)
- Christian Vanhove (ORCID: https://orcid.org/0000-0002-3988-5980)
- Jens Debacker (ORCID: https://orcid.org/0000-0002-8293-2885)
- Kathia De Man (ORCID: https://orcid.org/0000-0002-7062-6389)
Institutions
- HOGENT University of Applied Sciences and Arts (BE)
- Vrije Universiteit Brussel (BE)
- Ghent University Hospital (BE)
- Ghent University (BE)
- Cancer Research Institute Ghent (BE)
- Universitair Ziekenhuis Brussel (BE)
- VIB-UGent Center for Medical Biotechnology (BE)
Publication Details
- Journal
- EJNMMI Physics
- Published
- 2024-10-14
- DOI
- https://doi.org/10.1186/s40658-024-00681-9
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- Agentschap Innoveren en Ondernemen