SIGNAL APODIZATION FOR MR IMAGE RECONSTRUCTION

该项目有三个目标。 首先是评估费米 窗口函数的优点，这是用于 信号处理理论来表征经典窗函数。 第二是定义具有效用特性的品质因数 信号变迹用于图像重建，并研究 费米函数的可调参数使用这些数字 优点和模拟。 第三是探源 截断伪影重建的MR图像，并寻求一个最佳的 为他们的镇压。 第一个目标是在 去年（投稿）。 在未来一年，我们计划 实现第二个目标，并在 三分之

This project has three goals. The first is to evaluate the Fermi window function in terms of the figures of merit which are used in signal processing theory to characterize the classic window functions. The second is to define figures of merit which have utility specific to signal apodization for image reconstruction and to study the adjustable parameters of the Fermi function using these figures of merit and simulations. The third is to explore the sources of truncation artifacts in reconstructed MR images and to seek an optimal way for their suppression. The first goal was accomplished during the past year (manuscript submitted). During the coming year, we plan to accomplish the second goal and to make substantial progress in the third.