Howard Florey Institute, Florey Neuroscience Institutes, Victoria, Australia.
Magn Reson Med. 2010 Feb;63(2):502-9. doi: 10.1002/mrm.22197.
Accelerated parallel MRI has advantage in imaging speed, and its image quality has been improved continuously in recent years. This paper introduces a two-dimensional infinite impulse response model of inverse filter to replace the finite impulse response model currently used in generalized autocalibrating partially parallel acquisitions class image reconstruction methods. The infinite impulse response model better characterizes the correlation of k-space data points and better approximates the perfect inversion of parallel imaging process, resulting in a novel generalized image reconstruction method for accelerated parallel MRI. This k-space-based reconstruction method includes the conventional generalized autocalibrating partially parallel acquisitions class methods as special cases and has a new infinite impulse response data estimation mechanism for effective improvement of image quality. The experiments on in vivo MRI data show that the proposed method significantly reduces reconstruction errors compared with the conventional two-dimensional generalized autocalibrating partially parallel acquisitions method, particularly at the high acceleration rates.
加速并行磁共振成像在成像速度方面具有优势，近年来其图像质量不断得到提高。本文介绍了一种二维无限脉冲响应模型的逆滤波器，以替代目前在广义自校准部分并行采集类图像重建方法中使用的有限脉冲响应模型。无限脉冲响应模型更好地描述了 k 空间数据点的相关性，并更好地近似并行成像过程的完美反转，从而为加速并行 MRI 提供了一种新的广义图像重建方法。这种基于 k 空间的重建方法包括传统的广义自校准部分并行采集类方法作为特例，并具有新的无限脉冲响应数据估计机制，可有效提高图像质量。体内 MRI 数据的实验表明，与传统的二维广义自校准部分并行采集方法相比，所提出的方法显著降低了重建误差，特别是在高加速率下。
