Rahmim Arman, Tang Jing, Zaidi Habib
Division of Nuclear Medicine, Department of Radiology, Johns Hopkins University, Johns Hopkins Outpatient Centre, Room 3245, 601 N. Caroline Street, Baltimore, MD 21287, USA.
Department of Electrical & Computer Engineering, Oakland University, 2200 N Squirrel Road, Rochester, MI 48309, USA.
PET Clin. 2013 Jan;8(1):51-67. doi: 10.1016/j.cpet.2012.10.005. Epub 2012 Nov 26.
Cardiac and respiratory movements pose significant challenges to image quality and quantitative accuracy in PET imaging. Cardiac and/or respiratory gating attempt to address this issue, but instead lead to enhanced noise levels. Direct four-dimensional (4D) PET image reconstruction incorporating motion compensation has the potential to minimize noise amplification while removing considerable motion blur. A wide-ranging choice of such techniques is reviewed in this work. Future opportunities and the challenges facing the adoption of 4D PET reconstruction and its role in basic and clinical research are also discussed.
心脏和呼吸运动给PET成像中的图像质量和定量准确性带来了重大挑战。心脏和/或呼吸门控试图解决这个问题,但却导致了噪声水平的提高。结合运动补偿的直接四维(4D)PET图像重建有潜力在消除相当程度运动模糊的同时,将噪声放大降至最低。本文综述了这类技术的广泛选择。还讨论了4D PET重建应用面临的未来机遇和挑战,以及它在基础研究和临床研究中的作用。