| Zugriffsnummer | 46103 |
| Dokumenttyp | Konferenzartikel |
| Peer Review | unbekannt |
| Sprache | Englisch |
| Titel | Deep learning-based 4D synthetic CT for lung radiotherapy |
| Autor(in); Institution |
Maspero, Matteo; Radiotherapy, Division of Imaging & Oncology, UMC Utrecht, Utrecht, THE NETHERLANDS
Kerkering, Kirsten M.; 8.1, Biomedizinische Magnetresonanz, PTB-Berlin; 6.2, Dosimetrie für Strahlentherapie und Röntgendiagnostik, PTB-Braunschweig
Bruijnen, Tom; Radiotherapy, Division of Imaging & Oncology, UMC Utrecht, Utrecht, THE NETHERLANDS
Savenije, Mark H. F.; Radiotherapy, Division of Imaging & Oncology, UMC Utrecht, Utrecht, THE NETHERLANDS
Verhoff, Joost J. C.; Radiotherapy, Division of Imaging & Oncology, UMC Utrecht, Utrecht, THE NETHERLANDS
Kolbitsch, Christoph; 8.1, Biomedizinische Magnetresonanz, PTB-Berlin
van der Berg, Cornelis A. T.; Radiotherapy, Division of Imaging & Oncology, UMC Utrecht, Utrecht, THE NETHERLANDS
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| Quelle/Jahr | ISMRM 29th annual meeting & exhibition: 15-20 May 2021; virtual conference:(2021), 3 S. |
| Artikelnummer | 0798 |
| Availability | [online only] |
| URL | |
| Verlag | Wiley / ISMRM |
| Konferenzangaben | 29th Annual Meeting of the International Society of Magnetic Resonance in Medicine (ISMRM), Virtual Conference, 15-20 May 2021 |
| Zusammenfassung | The feasibility of generating synthetic CT for lung tumours from 4D MRI was invvestigated. A combination of multi-view 2D networks proved to be robust against image artefact and generated sCTs that enabled dose calculation on midposition sCTs. The proposed aproach facilitates adaptive MR-guided radiotherapy reducing the time from patient possitioning to irradiation and enables quality assurance with dose accumulation based on 4D MRI. |
| Themenbereich der Metrologie | Metrologie in der Medizin |
Zitierung
Maspero, M., Kerkering, K. M., Bruijnen, T., Savenije, M. H. F., Verhoff, J. J. C., Kolbitsch, C., & van der Berg, C. A. T. (2021). Deep learning-based 4D synthetic CT for lung radiotherapy. 29th Annual Meeting of the International Society of Magnetic Resonance in Medicine (ISMRM), Virtual Conference, 15-20 May 2021.