论文标题
基于物理学的重建方法用于磁共振成像
Physics-based Reconstruction Methods for Magnetic Resonance Imaging
论文作者
论文摘要
常规的磁共振成像（MRI）受到长时间的扫描时间的阻碍，并且仅定性图像对比，这会阻止不同系统之间直接比较。为了解决这些局限性，基于模型的重建明确对控制MRI信号产生的物理定律进行了建模。通过将图像重建作为反问题，可以直接从有效获取的k空间信号中直接提取基础物理参数的定量图，而无需中间图像重建 - 解决了同一时间的常规MRI的两个缺陷。这篇评论将讨论基于模型的重建的基本概念，并报告我们在过去十年中使用与数据和代码一起提供的选定示例在过去十年中开发几种基于模型的方法的经验。
Conventional Magnetic Resonance Imaging (MRI) is hampered by long scan times and only qualitative image contrasts that prohibit a direct comparison between different systems. To address these limitations, model-based reconstructions explicitly model the physical laws that govern the MRI signal generation. By formulating image reconstruction as an inverse problem, quantitative maps of the underlying physical parameters can then be extracted directly from efficiently acquired k-space signals without intermediate image reconstruction -- addressing both shortcomings of conventional MRI at the same time. This review will discuss basic concepts of model-based reconstructions and report about our experience in developing several model-based methods over the last decade using selected examples that are provided complete with data and code.
