Ultrasound-based sensors for respiratory motion assessment in multimodality PET imaging.
Ultrasound-based sensors for respiratory motion assessment in multimodality PET imaging.
复制标题
DOI：
10.1088/1361-6560/ac4213
复制
发表时间：
2022-01-19
影响因子：
3.5
通讯作者：
中科院分区：
文献类型：
--
作者：
呼吸运动可使内脏器官移位达几厘米；因此，它是限制医学成像图像质量的主要因素。当尝试融合在不同地点和/或不同日期获取的不同模式的图像时，运动也会使问题变得复杂。目前用于监测呼吸运动的设备通常通过检测躯干轮廓的变化而不是内部运动本身来间接地进行监测，并且这些设备通常固定在地板、天花板或墙壁上，因此无法陪伴患者从一个位置到另一个位置。我们开发了基于超声波的小型传感器，称为“器官配置运动”（OCM）传感器，它附着在皮肤上并提供丰富的运动敏感信息。在目前的工作中，我们测试了 OCM 传感器在体内 PET 成像期间启用呼吸门控的能力。组装了包含 FDG 溶液的运动模型，并招募了两名计划进行临床 PET/CT 检查的癌症患者参与这项研究。 OCM 信号用于帮助将体模和体内数据重建为运动分辨图像的时间序列。正如预期的那样，运动解析图像捕获了潜在的运动。在 1 号患者中，一个大的病变在整个呼吸周期中基本上是静止的。然而，在 2 号患者中，几个小病变在呼吸过程中是移动的，我们提出的新方法捕获了它们与呼吸相关的位移。总之，这里开发了一种相对便宜的硬件解决方案用于呼吸监测。由于所提出的传感器附着在皮肤上，而不是墙壁或天花板，因此它们可以陪伴患者从一个程序到下一个程序，从而有可能允许在不同地点和不同时间收集的数据以考虑呼吸运动的方式进行组合和比较。
Breathing motion can displace internal organs by up to several cm; as such, it is a primary factor limiting image quality in medical imaging. Motion can also complicate matters when trying to fuse images from different modalities, acquired at different locations and/or on different days. Currently available devices for monitoring breathing motion often do so indirectly, by detecting changes in the outline of the torso rather than the internal motion itself, and these devices are often fixed to floors, ceilings or walls, and thus cannot accompany patients from one location to another. We have developed small ultrasound-based sensors, referred to as ‘organ configuration motion’ (OCM) sensors, that attach to the skin and provide rich motion-sensitive information. In the present work we tested the ability of OCM sensors to enable respiratory gating during in vivo PET imaging. A motion phantom involving an FDG solution was assembled, and two cancer patients scheduled for a clinical PET/CT exam were recruited for this study. OCM signals were used to help reconstruct phantom and in vivo data into time series of motion-resolved images. As expected, the motion-resolved images captured the underlying motion. In Patient #1, a single large lesion proved to be mostly stationary through the breathing cycle. However, in Patient #2, several small lesions were mobile during breathing, and our proposed new approach captured their breathing-related displacements. In summary, a relatively inexpensive hardware solution was developed here for respiration monitoring. Because the proposed sensors attach to the skin, as opposed to walls or ceilings, they can accompany patients from one procedure to the next, potentially allowing data gathered in different places and at different times to be combined and compared in ways that account for breathing motion.
登录
查看更多内容
影响因子：
3.8
作者：
Dawood, Mohammad;Buether, Florian;Schaefers, Klaus P.
通讯作者：
Schaefers, Klaus P.
影响因子：
1.8
作者：
Dasari, Paul;Johnson, Karen;King, Michael A.
通讯作者：
King, Michael A.
影响因子：
10.6
作者：
Dawood, M;Lang, N;Schäfers, KP
通讯作者：
Schäfers, KP
影响因子：
3.8
作者：
O'Connor, J. Michael;Pretorius, P. Hendrik;King, Michael A.
通讯作者：
King, Michael A.
影响因子：
3.8
作者：
Madore B;Preiswerk F;Bredfeldt JS;Zong S;Cheng CC
通讯作者：
Cheng CC