High-resolution deep learning-reconstructed T2-weighted imaging for the improvement of image quality and extraprostatic extension assessment in prostate MRI.
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| Title: | High-resolution deep learning-reconstructed T2-weighted imaging for the improvement of image quality and extraprostatic extension assessment in prostate MRI. |
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| Authors: | Gassenmaier S; Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Tuebingen, Germany., Staber FK; Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Tuebingen, Germany., Ursprung S; Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Tuebingen, Germany., Herrmann J; Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Tuebingen, Germany., Werner S; Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Tuebingen, Germany., Lingg A; Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Tuebingen, Germany., Adams LC; Department of Diagnostic and Interventional Radiology, Klinikum Rechts der Isar, Technical University Munich, Munich, Germany., Almansour H; Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Tuebingen, Germany., Nikolaou K; Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Tuebingen, Germany.; Cluster of Excellence iFIT (EXC 2180) 'Image-guided and Functionally Instructed Tumor Therapies', University of Tuebingen, Tuebingen, Germany., Afat S; Department of Diagnostic and Interventional Radiology, Eberhard Karls University Tuebingen, Tuebingen, Germany. |
| Source: | Frontiers in radiology [Front Radiol] 2025 Oct 31; Vol. 5, pp. 1695043. Date of Electronic Publication: 2025 Oct 31 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 9918367586306676 Publication Model: eCollection Cited Medium: Internet ISSN: 2673-8740 (Electronic) Linking ISSN: 26738740 NLM ISO Abbreviation: Front Radiol Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2673-8740 |
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| DOI: | 10.3389/fradi.2025.1695043 |
