OPTIMAL IMAGING METHODS FOR MRI

在这个项目中，我们提出了开发磁优化方法， 磁共振成像（MRI）。 这些方法是“最佳”的，因为 将反馈控制的工程理论应用到成像中， 获取战略，以便为生产提取最大信息 稳定的图像估计。 这些方法将主要用于 动态 这些过程在时间上发展得如此之快， 不能在空间和时间上充分解决， 使用当前动态MRI方法的体积覆盖。 我们的假设是 显著改善体积覆盖范围，而不损失图像质量 或者时间分辨率，如果使用优化的方法，则可以获得。 的 在反馈的一般背景下表征MRI系统 控制理论为设计成像方法提供了可能性 在明确定义的性能约束内真正达到最优 的搜索. 将开发方法来解决特定的动态磁共振成像 问题 我们将特别关注两个重要的新应用 MRI的实时监测;介入手术的实时监测， 大脑功能

In this project we propose to develop optimal methods for magnetic resonance imaging (MRI). These methods are 'optimal' in the sense that the engineering theory of feedback control is applied in the imaging acquisition strategy in order to extract maximum information for production of stable image estimates. These methods will be applied primarily for dynamic imaging of processes that evolve so rapidly in time that they cannot be adequately resolved both spatially and temporally with suitable volume coverage using current dynamic MRI methods. Our hypothesis is that significant improvement in volume coverage, without loss of image quality or temporal resolution, can be obtained if optimized methods are used. The characterization of the MRI system within the general context of feedback control theory presents the possibility for designing imaging approaches that are truly optimal within the constraints of well defined performance criteria. Methods will be developed to address specific dynamic MR imaging problems. In particular we will focus on two important new applications of MRI; real-time monitoring of interventional procedures, and mapping of cerebral function.