Deep learning-based pseudo-CT synthesis from zero echo time MR sequences of the pelvis
pCT, based on DL-reconstructed ZTE MR images, may be comparable with true CT images. Overall, the intermodality agreement between CT and pCT was good with excellent interreader agreements for pCT. Geometrical measurements and tissue differentiation were similar in CT and pCT images.
Authors
- Jonas M. Getzmann (ORCID: https://orcid.org/0000-0003-1625-8826)
- Eva Deininger‐Czermak (ORCID: https://orcid.org/0000-0002-7539-6033)
- Sandeep Kaushik (ORCID: https://orcid.org/0000-0002-6517-9393)
- Florian Wiesinger (ORCID: https://orcid.org/0000-0002-5597-6057)
- Falko Ensle (ORCID: https://orcid.org/0000-0002-1097-404X)
- Roman Guggenberger (ORCID: https://orcid.org/0000-0002-5903-2248)
- Luca Maria Sconfienza (ORCID: https://orcid.org/0000-0003-0759-8431)
- C. Cozzini
- Savvas Melissanidis
Institutions
- University of Milan (IT)
- University of Zurich (CH)
- University Hospital of Zurich (CH)
- IRCCS Ospedale Galeazzi - Sant'Ambrogio (IT)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
- Siemens Healthineers (Germany) (DE)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2024-08-09
- DOI
- https://doi.org/10.1186/s13244-024-01751-3
- Citations
- 9
- Primary Topic
- Pelvic and Acetabular Injuries
- Type
- article
- Field-Weighted Citation Impact
- 5.15
Funders
- Gottfried und Julia Bangerter-Rhyner-Stiftung