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深度学习CAIPIRINHA加速3DMRI的膝盖软骨在7特斯拉的时间
Adrian Alexander Marth1, Thomas Marth1, Georg Constantin Feuerriegel2
1Swiss Center for Musculoskeletal Imaging, Balgrist Campus AG, Zurich, Switzerland; Department of Radiology, Balgrist University Hospital, University of Zurich, Zurich, Switzerland.
European journal of radiology
|July 12, 2025
概括
深度学习重建能够更快地进行7特斯拉膝关节软骨成像. 基于CAIPIRINHA的4倍和6倍加速的3D DESS扫描与GRAPPA质量匹配,减少扫描时间.
科学领域:
- 磁共振成像是一种磁共振成像技术.
- 医学成像技术 医学成像技术
- 人工智能在医学中的应用
背景情况:
- 膝关节软骨的高分辨率3D双回声稳定状态 (DESS) 成像对于诊断至关重要.
- 需要加速成像技术来减少扫描时间和提高患者舒适度.
- 深度学习 (DL) 重建显示了提高MRI质量和速度的前景.
研究的目的:
- 为了评估深度学习 (DL) 重建加速7特斯拉 (T) 3D DESS膝关节软骨成像的可行性.
- 为了确定可实现的扫描时间缩短,使用CAIPIRINHA (平行成像中的控制别名导致更高的加速) 加速与DL重建.
- 将DL重建的加速DESS序列的图像质量和诊断性能与传统方法进行比较.
主要方法:
- 18名志愿者的35个膝关节用7T核磁共振扫描仪进行成像.
- 一个脂肪抑制的,DL重建的CAIPIRINHA加速的DESS序列 (CAIPIRINHADL) 用于0.25毫米的同位素分辨率.
- 获取加速了4倍,6倍,8倍和12倍 (CAIPIRINHADL4-CAIPIRINHADL12) 和与加速了4倍的GRAPPA DESS序列 (GRAPPA4) 相比.
主要成果:
- CAIPIRINHADL6序列在最佳质量类别的序列中获得了最短的获取时间 (4:04分钟),与GRAPPA4 (5:53分钟) 相比.
- CAIPIRINHADL8和CAIPIRINHADL12的图像质量被评为低于GRAPPA4,具有显著更多的文物 (p < 0.001).
- 对于CAIPIRINHADL4和GRAPPA4的软骨损伤分级,读者间的一致性几乎是完美的 (κ=0.90),对于CAIPIRINHADL12则下降到中等的 (κ=0.52).
结论:
- DL重建的3D DESS图像在7T时具有4倍和6倍的CAIPIRINHA加速,其质量相当于GRAPPA加速4倍的DESS图像.
- 这些发现证明了使用DL重建用于加速膝关节软骨成像在7特斯拉的可行性.
- 基于DL的加速度提供了一个可行的策略,以减少高分辨率膝盖MRI的扫描时间.
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