Complementary information obtained from multiple contrasts of tissue facilitates physicians assessing, diagnosing and planning treatment of a variety of diseases. However, acquiring multiple contrasts magnetic resonance images (MRI) for every patient using multiple pulse sequences is time‐consuming and expensive, where, medical image synthesis has been demonstrated as an effective alternative. The purpose of this study is to develop a unified framework for multimodal MR image synthesis.

中文翻译：

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使用统一生成对抗网络的多模态 MRI 合成

从组织的多重对比中获得的补充信息有助于医生评估、诊断和规划各种疾病的治疗。然而，使用多个脉冲序列为每位患者获取多个对比磁共振图像 (MRI) 既耗时又昂贵，其中医学图像合成已被证明是一种有效的替代方法。本研究的目的是为多模态 MR 图像合成开发一个统一的框架。