Optimizing hip MRI: enhancing image quality and elevating inter-observer consistency using deep learning-powered reconstruction
| Title: | Optimizing hip MRI: enhancing image quality and elevating inter-observer consistency using deep learning-powered reconstruction |
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| Authors: | Yimeng Kang, Wenjing Li, Qingqing Lv, Qiuying Tao, Jieping Sun, Jinghan Dang, Xiaoyu Niu, Zijun Liu, Shujian Li, Zanxia Zhang, Kaiyu Wang, Baohong Wen, Jingliang Cheng, Yong Zhang, Weijian Wang |
| Source: | BMC Medical Imaging, Vol 25, Iss 1, Pp 1-12 (2025) |
| Publisher Information: | BMC, 2025. |
| Publication Year: | 2025 |
| Collection: | LCC:Medical technology |
| Subject Terms: | Hip Joint, Deep learning, MRI, Image quality, Diagnostic performance, Medical technology, R855-855.5 |
| More Details: | Abstract Background Conventional hip joint MRI scans necessitate lengthy scan durations, posing challenges for patient comfort and clinical efficiency. Previously, accelerated imaging techniques were constrained by a trade-off between noise and resolution. Leveraging deep learning-based reconstruction (DLR) holds the potential to mitigate scan time without compromising image quality. Methods We enrolled a cohort of sixty patients who underwent DL-MRI, conventional MRI, and No-DL MRI examinations to evaluate image quality. Key metrics considered in the assessment included scan duration, overall image quality, quantitative assessments of Relative Signal-to-Noise Ratio (rSNR), Relative Contrast-to-Noise Ratio (rCNR), and diagnostic efficacy. Two experienced radiologists independently assessed image quality using a 5-point scale (5 indicating the highest quality). To gauge interobserver agreement for the assessed pathologies across image sets, we employed weighted kappa statistics. Additionally, the Wilcoxon signed rank test was employed to compare image quality and quantitative rSNR and rCNR measurements. Results Scan time was significantly reduced with DL-MRI and represented an approximate 66.5% reduction. DL-MRI consistently exhibited superior image quality in both coronal T2WI and axial T2WI when compared to both conventional MRI (p |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 1471-2342 79363687 |
| Relation: | https://doaj.org/toc/1471-2342 |
| DOI: | 10.1186/s12880-025-01554-y |
| Access URL: | https://doaj.org/article/3b2b8a89e0cc46f281251a79363687d1 |
| Accession Number: | edsdoj.3b2b8a89e0cc46f281251a79363687d1 |
| Database: | Directory of Open Access Journals |
| ISSN: | 14712342 79363687 |
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| DOI: | 10.1186/s12880-025-01554-y |
| Published in: | BMC Medical Imaging |
| Language: | English |