Biparametric prostate MRI with super-resolution deep learning reconstruction: image quality assessment using PI-QUAL version 2
Motivation: Super-resolution deep learning reconstruction (SR-DLR) can simultaneously reduce noise and improve spatial resolution. Goal(s): Our goal was to evaluate the image quality of biparametric prostate MRI with SR-DLR using PI-QUAL version 2. Approach: SR-DLR was applied to both T2WI and DWI. SNR and subjective image quality were compared between SR-DLR and conventional images. Results: SR-DLR significantly improved the image quality of biparametic prostate MRI and increased PI-QUAL scores. Impact: SR-DLR improves both T2WI and DWI image quality in prostate MRI, resulting in improved PI-QUAL scores. This technique may have the potential to improve the diagnostic accuracy of prostate biparametric MRI of the prostate.
Authors
- Yuichi Yamashita (ORCID: https://orcid.org/0000-0002-2779-8222)
- Takashi Ota (ORCID: https://orcid.org/0000-0003-3902-8230)
- Noriyuki Tomiyama (ORCID: https://orcid.org/0000-0001-9918-7327)
- Kengo Kiso
- Hiroyuki Tarewaki
- Atsushi Nakamoto (ORCID: https://orcid.org/0000-0001-8540-1855)
- Masatoshi Hori (ORCID: https://orcid.org/0000-0002-2523-3789)
- Toru Honda (ORCID: https://orcid.org/0000-0001-7709-6010)
- Koki Kaketaka
- Takumi Tanigaki
- 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
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/0805
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00