用一张膝关节X光片生成3D MRI，助力低成本诊断
Feasibility study for reconstruction of knee MRI from one corresponding X-ray via CNN
- 用卷积自编码器提取X光片隐变量，驱动生成模型产3D MRI
- 仅需单张对应X光片即可重建高质量3D MRI，无需配对影像
- 适合骨关节炎早期筛查，为资源有限地区提供辅助诊断方案
X射线作为一种成本低、应用广泛的医学成像技术，被临床医生广泛采用。随着医疗技术发展，磁共振成像（MRI）作为高级成像手段，已成为膝骨关节炎（KOA）诊断的重要补充。本文提出一种基于深度学习的方法，仅需一张对应的X光片即可生成3D MRI。该方法利用训练好的卷积自编码器（CAE）对X光片进行编码，提取其隐藏变量作为生成模型的输入，进而生成3D MRI图像。该框架不依赖多模态配对数据，具备潜在临床应用价值。
原文摘要 · Abstract (English)
Generally, X-ray, as an inexpensive and popular medical imaging technique, is widely chosen by medical practitioners. With the development of medical technology, Magnetic Resonance Imaging (MRI), an advanced medical imaging technique, has already become a supplementary diagnostic option for the diagnosis of KOA. We propose in this paper a deep-learning-based approach for generating MRI from one corresponding X-ray. Our method uses the hidden variables of a Convolutional Auto-Encoder (CAE) model, trained for reconstructing X-ray image, as inputs of a generator model to provide 3D MRI.
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