Deep learning-based acceleration of high-resolution compressed sense MR imaging of the hip
CSAI provides high-resolution hip MR images with enhanced cartilage depiction without extending acquisition times, potentially enabling more precise hip cartilage assessment.
Authors
- Sarah C. Foreman (ORCID: https://orcid.org/0000-0001-9140-0162)
- Dimitrios C. Karampinos (ORCID: https://orcid.org/0000-0003-4922-3662)
- Felix Meurer (ORCID: https://orcid.org/0000-0001-8998-578X)
- Alexandra S. Gersing (ORCID: https://orcid.org/0000-0003-1687-5541)
- Jan Neumann (ORCID: https://orcid.org/0000-0003-4388-737X)
- Ingo J. Banke
- Klaus Woertler (ORCID: https://orcid.org/0000-0002-0124-9735)
- Markus Graf (ORCID: https://orcid.org/0000-0002-4668-0326)
- Marcus R. Makowski (ORCID: https://orcid.org/0000-0001-8778-647X)
- Kilian Weiss (ORCID: https://orcid.org/0000-0003-4295-4585)
- Vanessa Twardy (ORCID: https://orcid.org/0000-0003-4586-1878)
- Alexander Wolfgang Marka (ORCID: https://orcid.org/0000-0002-2111-8177)
- Saba Ebrahimi Ardjomand
Institutions
- University of California, San Francisco (US)
- TUM Klinikum (DE)
- LMU Klinikum (DE)
- Kantonsspital Graubünden (CH)
- Philips (Germany) (DE)
- Ludwig-Maximilians-Universität München (DE)
Publication Details
- Journal
- European Journal of Radiology Open
- Published
- 2025-05-02
- DOI
- https://doi.org/10.1016/j.ejro.2025.100656
- Primary Topic
- Hip disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00