CT-free attenuation and Monte-Carlo based scatter correction-guided quantitative 90Y-SPECT imaging for improved dose calculation using deep learning
We developed multiple models for three different clinically scenarios, namely AC, SC, and ASC using the patient-specific Monte Carlo scatter corrected and CT-based attenuation corrected images. These task-specific models could be beneficial to perform the essential corrections where the CT images are either not available or not reliable due to misalignment, after training with a larger dataset.
Authors
- Yazdan Salimi (ORCID: https://orcid.org/0000-0002-1233-9576)
- Habib Zaidi (ORCID: https://orcid.org/0000-0001-7559-5297)
- Ismini Mainta (ORCID: https://orcid.org/0000-0001-5296-0116)
- Nicola Bianchetto Wolf (ORCID: https://orcid.org/0009-0008-4447-4802)
- Zahra Mansouri (ORCID: https://orcid.org/0009-0003-0506-9488)
Institutions
- Obuda University (HU)
- University Medical Center Groningen (NL)
- University of Southern Denmark (DK)
- University Hospital of Geneva (CH)
Publication Details
- Journal
- European Journal of Nuclear Medicine and Molecular Imaging
- Published
- 2025-03-13
- DOI
- https://doi.org/10.1007/s00259-025-07191-5
- Citations
- 6
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 8.16
Funders
- National Science Foundation
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Université de Genève