T2-weighted imaging of the prostate with super-resolution deep learning reconstruction: impact on PI-QUAL assessment
Motivation: Super-resolution deep learning reconstruction (SR-DLR) can simultaneously reduce noise and improve spatial resolution. Goal(s): Our goal was to evaluate the usefulness of SR-DLR in prostate T2-weighted imaging (T2WI) with conventional and reduced acquisition times. Approach: SR-DLR was applied to both conventional acquisition time T2WI and short acquisition time T2WI. Visibility of the anatomical structures of the prostate and image quality were evaluated. Results: SR-DLR significantly improved image quality of prostate T2WI and visibility of detailed anatomical structures, especially in the small structures such as ejaculatory ducts. Impact: SR-DLR improves T2WI image quality in prostate MRI and improves the visibility of detailed anatomical structures, and has the potential to reduce acquisition time while maintaining adequate image quality for diagnosis.
Authors
- Yuichi Yamashita (ORCID: https://orcid.org/0000-0002-2779-8222)
- Takashi Ota (ORCID: https://orcid.org/0000-0003-3902-8230)
- Hiromitsu Onishi
- Noriyuki Tomiyama (ORCID: https://orcid.org/0000-0001-9918-7327)
- Kengo Kiso
- Hiroyuki Tarewaki
- Atsushi Nakamoto (ORCID: https://orcid.org/0000-0001-8540-1855)
- Takahiro Tsuboyama (ORCID: https://orcid.org/0000-0002-7243-1454)
- Toru Honda (ORCID: https://orcid.org/0000-0001-7709-6010)
- Koki Kaketaka
- Yoshimori Kassai (ORCID: https://orcid.org/0000-0003-1270-8084)
- Hideyuki Fukui (ORCID: https://orcid.org/0000-0002-6330-2482)
- Shohei Matsumoto (ORCID: https://orcid.org/0000-0001-7544-6291)
- Mitsuaki Tatsumi (ORCID: https://orcid.org/0000-0003-1778-0421)
- Yoshihiro Koyama
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/3344
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00