Zhao Lei, Madore Bruno, Panych Lawrence P
Department of Radiology, Harvard Medical School, Brigham and Women's Hospital, Boston, MA 02115, USA.
Magn Reson Med. 2005 May;53(5):1118-25. doi: 10.1002/mrm.20458.
When the region of interest (ROI) is smaller than the object, one can increase MRI speed by reducing the imaging field of view (FOV). However, when such an approach is used, features outside the reduced FOV will alias into the reduced-FOV image along the phase-encoding direction. Reduced-FOV methods are designed to correct this aliasing problem. In the present study, we propose a combination of two different approaches to reduce the acquired FOV: 1) two-dimensional (2D) spatially-selective RF excitation, and 2) the unaliasing by Fourier-encoding the overlaps using the temporal dimension (UNFOLD) technique. While 2D spatially-selective RF excitation can restrict the spins excited within a reduced FOV, the UNFOLD technique can help to eliminate any residual aliased signals and thus relaxes the requirement for a long RF excitation pulse. This hybrid method was implemented for MR-based temperature mapping, and resulted in artifact-free images with a fourfold improvement in temporal resolution.
当感兴趣区域(ROI)小于物体时,可以通过减小成像视野(FOV)来提高MRI速度。然而,当采用这种方法时,缩小视野之外的特征会沿着相位编码方向混叠到缩小视野图像中。缩小视野方法旨在纠正这种混叠问题。在本研究中,我们提出了两种不同方法的组合来减小采集视野:1)二维(2D)空间选择性射频激励,以及2)使用时间维度对重叠部分进行傅里叶编码去混叠(UNFOLD)技术。虽然二维空间选择性射频激励可以将激发的自旋限制在缩小的视野内,但UNFOLD技术有助于消除任何残留的混叠信号,从而放宽对长射频激发脉冲的要求。这种混合方法用于基于MR的温度映射,并产生了无伪影图像,时间分辨率提高了四倍。