Use of deep learning-accelerated T2 TSE for prostate MRI: Comparison with and without hyoscine butylbromide admission
In our study, cT2 sequences with HBB showed superior image quality and diagnostic confidence while the T2DL sequence offer promising potential for reducing MRI acquisition times and performed better in quantitative measures like SNR and CNR. Additional studies are required to evaluate further adjusted and developed DL applications for prostate MRI on upcoming scanner generations and to assess tumor detection rates.
Authors
- L. Schimmöller
- L Drewes
- Scott Trappe (ORCID: https://orcid.org/0000-0002-6438-431X)
- Rouvier Al‐Monajjed (ORCID: https://orcid.org/0009-0009-1004-1459)
- Birte Valentin (ORCID: https://orcid.org/0000-0002-6487-0801)
- J.P. Radtke (ORCID: https://orcid.org/0000-0001-5266-8297)
- Gerald Antoch (ORCID: https://orcid.org/0000-0001-7834-3714)
- Hans‐Jörg Wittsack (ORCID: https://orcid.org/0000-0002-5830-423X)
- M. Boschheidgen
- Peter Albers (ORCID: https://orcid.org/0000-0002-1747-9615)
- T. Ullrich (ORCID: https://orcid.org/0000-0002-9866-8898)
Institutions
- Düsseldorf University Hospital (DE)
- Heinrich Heine University Düsseldorf (DE)
- Hochschule Düsseldorf University of Applied Sciences (DE)
Publication Details
- Journal
- Magnetic Resonance Imaging
- Published
- 2025-02-11
- DOI
- https://doi.org/10.1016/j.mri.2025.110358
- Citations
- 3
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 4.56