OPTIMAL IMAGING METHODS FOR MRI

在这个项目中，我们建议开发最优的磁学方法 磁共振成像(MRI)。这些方法是“最优的”，因为 将反馈控制的工程理论应用到成像中 为了最大限度地为生产提取信息的收购策略 稳定的图像估计。这些方法将主要应用于 动态成像的过程在时间上进化得如此之快，以至于它们 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 在不降低图像质量的情况下显著提高音量覆盖率 或时间分辨率，如果使用优化方法，则可以获得。这个 在反馈的一般背景下的磁共振成像系统的特征 控制理论为设计成像方法提供了可能性 在明确定义的性能的约束下真正达到最佳 标准。将开发方法来处理特定的动态磁共振成像 有问题。我们将特别关注两个重要的新应用 实时监测介入治疗过程，并绘制 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.