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首页> 外文期刊>Physics in medicine and biology. >Speckle tracking in a phantom and feature-based tracking in liver in the presence of respiratory motion using 4D ultrasound.
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Speckle tracking in a phantom and feature-based tracking in liver in the presence of respiratory motion using 4D ultrasound.

机译:使用4D超声,在存在呼吸运动的情况下,幻像中的斑点跟踪和肝脏中基于特征的跟踪。

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摘要

We have evaluated a 4D ultrasound-based motion tracking system developed for tracking of abdominal organs during therapy. Tracking accuracy and precision were determined using a tissue-mimicking phantom, by comparing tracked motion with known 3D sinusoidal motion. The feasibility of tracking 3D liver motion in vivo was evaluated by acquiring 4D ultrasound data from four healthy volunteers. For two of these volunteers, data were also acquired whilst simultaneously measuring breath flow using a spirometer. Hepatic blood vessels, tracked off-line using manual tracking, were used as a reference to assess, in vivo, two types of automated tracking algorithm: incremental (from one volume to the next) and non-incremental (from the first volume to each subsequent volume). For phantom-based experiments, accuracy and precision (RMS error and SD) were found to be 0.78 mm and 0.54 mm, respectively. For in vivo measurements, mean absolute distance and standard deviation of the difference between automatically and manually tracked displacements were less than 1.7 mm and 1 mm respectively in all directions (left-right, anterior-posterior and superior-inferior). In vivo non-incremental tracking gave the best agreement. In both phantom and in vivo experiments, tracking performance was poorest for the elevational component of 3D motion. Good agreement between automatically and manually tracked displacements indicates that 4D ultrasound-based motion tracking has potential for image guidance applications in therapy.
机译:我们评估了一种基于4D超声的运动跟踪系统,该系统开发用于在治疗过程中跟踪腹部器官。使用模拟组织的幻像,通过将跟踪的运动与已知的3D正弦运动进行比较,可以确定跟踪的准确性和精度。通过从四名健康志愿者那里获取4D超声数据,评估了在体内追踪3D肝运动的可行性。对于其中两个志愿者,还获取了数据,同时使用肺活量计测量呼吸流量。使用手动跟踪离线跟踪的肝血管被用作参考,以在体内评估两种类型的自动跟踪算法:增量(从一个体积到下一个)和非增量(从第一个体积到每个)随后的卷)。对于基于幻像的实验,发现精度和精度(RMS误差和SD)分别为0.78 mm和0.54 mm。对于体内测量,自动和手动跟踪的位移之间的差异的平均绝对距离和标准偏差在各个方向(左右,前后,上下)均分别小于1.7 mm和1 mm。体内非增量跟踪给出了最好的协议。在体模和体内实验中,对于3D运动的仰角分量,跟踪性能最差。自动和手动跟踪的位移之间的良好一致性表明,基于4D超声的运动跟踪在治疗中具有图像指导应用的潜力。

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