用相增大技术从仅大小图像中训练的MRI重建的生成先验
Guanxiong Luo1,2, Xiaoqing Wang3, Moritz Blumenthal4,5
1University Medical Center Göttingen, Gottingen, Germany.
概括
我们开发了一种方法,可以从磁力共振扫描中创建生成的图像先验. 整合相位信息和使用大型数据集可以显著提高图像重建质量和稳定性.
科学领域:
- 医疗成像医学成像
- 计算成像技术的成像
- 人工智能的人工智能
背景情况:
- 生成图像先验可以提高图像重建质量.
- 当前的方法经常在磁共振成像 (MRI) 中与有限的数据或相位信息作斗争.
研究的目的:
- 开发一个工作流程,以创建强大的生成图像先验,仅从大小MRI数据.
- 评估阶段信息和数据集大小对先前绩效的影响.
- 将生成先验与传统规范化方法进行比较.
主要方法:
- 从只有大小的MR图像构建训练数据集.
- 用相位信息来增强数据集,以训练复杂的图像先验.
- 评估使用线性和非线性重建用于压缩传感并行成像的先验.
主要成果:
- 在复杂图像 (大小 + 阶段) 上训练的先在仅在大小图像上训练的先中表现出色.
- 更大的训练数据集导致了更强大的先验.
- 生成先验在高低样本场景中表现出优于[公式:参见文本]-wavelet调整的优势.
结论:
- 阶段信息对于改善MRI重建中的生成性先前性能至关重要.
- 大数据集提高了生成先验的稳定性.
- 生成先验为加速MRI的传统规范化提供了一个强大的替代方案.
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