Automatic ultrasound image alignment for diagnosis of pediatric distal forearm fractures
The study introduced an effective and fully automatic pipeline for aligning ultrasound images, showing potential to replace X-rays for diagnosing pediatric distal forearm fractures. Initial tests show that surgeons find many of our results sufficient for diagnosis. Future work will focus on increasing dataset size to improve diagnostic accuracy and reliability.
Authors
- Stefanie Speidel (ORCID: https://orcid.org/0000-0002-4590-1908)
- Philipp Schwerk
- Jurek Schultz (ORCID: https://orcid.org/0000-0001-5638-8663)
- Jǐnjīng Xǔ (ORCID: https://orcid.org/0000-0001-7698-5991)
- Guido Fitze
- Christoph von Schrottenberg (ORCID: https://orcid.org/0000-0002-4938-3300)
- Peng Liu (ORCID: https://orcid.org/0009-0002-4280-3672)
- Yujia Hu (ORCID: https://orcid.org/0009-0002-7306-3144)
- Micha Pfeiffer (ORCID: https://orcid.org/0000-0001-9822-8641)
- Josephine Edith Pohl
Institutions
- German Cancer Research Center (DE)
- Heidelberg University (DE)
- Helmholtz-Zentrum Dresden-Rossendorf (DE)
- National Center for Tumor Diseases (DE)
- University Hospital Carl Gustav Carus (DE)
- Technische Universität Dresden (DE)
Publication Details
- Journal
- International Journal of Computer Assisted Radiology and Surgery
- Published
- 2025-05-02
- DOI
- https://doi.org/10.1007/s11548-025-03361-w
- Primary Topic
- Bone fractures and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00