National Institute of Radiological Sciences (NIRS), National Institutes for Quantum and Radiological Science and Technology (QST), Chiba, Japan.
Phys Med Biol. 2019 Jun 10;64(12):125003. doi: 10.1088/1361-6560/ab221d.
Some recently developed brain-dedicated positron emission tomography (PET) scanners measure subjects in a sitting position. Sitting enables PET scanning under more natural conditions for the subjects and also helps with making the scanners smaller. It is unclear, however, how much the degree of head motion when sitting differs from the supine posture commonly employed in clinical PET. In this report, we describe development of a markerless and contactless head motion tracking system and a study of healthy volunteers in several different postures to determine the optimum posture for brain PET. We used Kinect (Microsoft) and developed software that can measure head motion with about 1 mm (translation) and less than 1° (rotation) accuracy. In the volunteer study, we measured the amount of head motion, with and without head fixation, in supine, normal sitting, and reclining postures. The results indicated that the normal sitting posture without head fixation had the largest head movement, and that the reclining and supine postures were similarly effective for minimizing head movement (average head movement of about 0.5 mm during 1 min). We also visualized the influence that head motion had on images for each pose by simulating the actual motions obtained from the volunteer study using a digital Hoffman phantom. Comparisons with the original image showed that the extent to which motion was reduced in the reclining and supine postures were quantitatively equivalent. The head motions of the volunteer studies were also reproduced using a mannequin head on a motorized stage to assess how well the proposed motion measurement system worked when used for motion correction. The results indicated that even though the system improved image quality for all postures, the reclining and supine postures could provide better image quality than the normal sitting posture.
一些新开发的专门用于大脑的正电子发射断层扫描(PET)扫描仪可让受检者以坐姿进行检测。坐姿使受检者处于更自然的状态,也有助于缩小扫描仪的体积。然而,坐姿时头部运动的程度与临床 PET 中常用的仰卧位有何不同尚不清楚。在本报告中,我们描述了一种无标记、无接触的头部运动跟踪系统的开发,并对多名健康志愿者在几种不同姿势下进行了研究,以确定大脑 PET 的最佳姿势。我们使用 Kinect(微软)并开发了软件,该软件可以以约 1mm(平移)和小于 1°(旋转)的精度测量头部运动。在志愿者研究中,我们测量了仰卧位、正常坐姿和斜卧位时有无头部固定的头部运动幅度。结果表明,无头部固定的正常坐姿头部运动幅度最大,而斜卧位和仰卧位同样可以有效减少头部运动(1 分钟内平均头部运动约 0.5mm)。我们还通过使用数字 Hoffman 体模模拟从志愿者研究中获得的实际运动,可视化了每个姿势的头部运动对图像的影响。与原始图像的比较表明,斜卧位和仰卧位减少运动的程度在定量上是等效的。我们还使用机动台的人头模型再现了志愿者研究的头部运动,以评估所提出的运动测量系统在用于运动校正时的效果。结果表明,即使该系统改善了所有姿势的图像质量,斜卧位和仰卧位也可以提供比正常坐姿更好的图像质量。