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临床扫描仪上的连续床运动:设计、数据校正与重建

Continuous bed motion on clinical scanner: design, data correction, and reconstruction.

作者信息

Panin V Y, Smith A M, Hu J, Kehren F, Casey M E

机构信息

Siemens Healthcare, Molecular Imaging, Knoxville, TN, USA.

出版信息

Phys Med Biol. 2014 Oct 21;59(20):6153-74. doi: 10.1088/0031-9155/59/20/6153. Epub 2014 Sep 25.

Abstract

With the addition of variable bed speed capabilities, continuous bed motion (CBM) becomes an acquisition generalization for axial sensitivity modeling and therefore a flexible tool in axial local image quality adjustment. In this paper, we describe the principles behind CBM mode planning and its influence on image reconstruction. The data correction method underwent the most changes compared to the commonly used step and shoot (S&S) mode. The CBM normalization array accommodates for activity decay, dead time correction, and the fact that various detector pairs acquire the same data for different durations. The normalization array is computed by simulating the movement of an object through the scanner, assisted by the monitoring of basic scanner acquisition parameters such as the singles rate. The sensitivity, which is the number of counts acquired per image plane, is an intrinsic part of normalization computing. Basic equations to estimate acquisition time at matched sensitivity between single speed CBM and S&S mode are presented. The CBM feature was implemented on a Siemens clinical scanner and initial studies of phantoms and patients are presented. The equivalence of single speed CBM and S&S image quality is demonstrated.

摘要

随着可变床速功能的增加,连续床运动(CBM)成为轴向灵敏度建模的一种采集通用方法,因此也是轴向局部图像质量调整的一种灵活工具。在本文中,我们描述了CBM模式规划背后的原理及其对图像重建的影响。与常用的步进和采集(S&S)模式相比,数据校正方法经历了最大的变化。CBM归一化阵列考虑了放射性衰变、死时间校正,以及不同探测器对在不同持续时间内采集相同数据这一事实。归一化阵列是通过模拟物体在扫描仪中的移动来计算的,并借助对基本扫描仪采集参数(如单计数率)的监测。灵敏度是每个图像平面采集的计数数量,是归一化计算的一个固有部分。给出了在单速CBM和S&S模式之间匹配灵敏度时估计采集时间的基本方程。CBM功能在西门子临床扫描仪上得以实现,并展示了对体模和患者的初步研究。证明了单速CBM和S&S图像质量的等效性。

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