Optimizing hip MRI: enhancing image quality and elevating inter-observer consistency using deep learning-powered reconstruction

Optimizing hip MRI: enhancing image quality and elevating inter-observer consistency using deep learning-powered reconstruction

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 reconstructi...

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Main 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
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Medical Imaging
Subjects:
Hip Joint
Deep learning
MRI
Image quality
Diagnostic performance
Online Access:https://doi.org/10.1186/s12880-025-01554-y
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https://doi.org/10.1186/s12880-025-01554-y

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