Harris Emma J, Miller Naomi R, Bamber Jeffrey C, Evans Phillip M, Symonds-Tayler J Richard N
Joint Department of Physics, Institute of Cancer Research, Sutton, Surrey, UK.
Phys Med Biol. 2007 Sep 21;52(18):5683-703. doi: 10.1088/0031-9155/52/18/014. Epub 2007 Sep 4.
Three-dimensional (3D) soft tissue tracking is of interest for monitoring organ motion during therapy. Our goal is to assess the tracking performance of a curvilinear 3D ultrasound probe in terms of the accuracy and precision of measured displacements. The first aim was to examine the depth dependence of the tracking performance. This is of interest because the spatial resolution varies with distance from the elevational focus and because the curvilinear geometry of the transducer causes the spatial sampling frequency to decrease with depth. Our second aim was to assess tracking performance as a function of the spatial sampling setting (low, medium or high sampling). These settings are incorporated onto 3D ultrasound machines to allow the user to control the trade-off between spatial sampling and temporal resolution. Volume images of a speckle-producing phantom were acquired before and after the probe had been moved by a known displacement (1, 2 or 8 mm). This allowed us to assess the optimum performance of the tracking algorithm, in the absence of motion. 3D speckle tracking was performed using 3D cross-correlation and sub-voxel displacements were estimated. The tracking performance was found to be best for axial displacements and poorest for elevational displacements. In general, the performance decreased with depth, although the nature of the depth dependence was complex. Under certain conditions, the tracking performance was sufficient to be useful for monitoring organ motion. For example, at the highest sampling setting, for a 2 mm displacement, good accuracy and precision (an error and standard deviation of <0.4 mm) were observed at all depths and for all directions of displacement. The trade-off between spatial sampling, temporal resolution and size of the field of view (FOV) is discussed.
三维(3D)软组织跟踪对于在治疗过程中监测器官运动具有重要意义。我们的目标是根据测量位移的准确性和精确性来评估曲线3D超声探头的跟踪性能。第一个目标是研究跟踪性能的深度依赖性。这一点很重要,因为空间分辨率会随着与仰角焦点距离的变化而变化,并且由于换能器的曲线几何形状会导致空间采样频率随深度降低。我们的第二个目标是评估跟踪性能作为空间采样设置(低、中或高采样)的函数。这些设置被整合到3D超声机器上,以便用户控制空间采样和时间分辨率之间的权衡。在探头以已知位移(1、2或8毫米)移动之前和之后,采集产生散斑的体模的体积图像。这使我们能够在没有运动的情况下评估跟踪算法的最佳性能。使用三维互相关进行三维散斑跟踪,并估计亚体素位移。发现跟踪性能在轴向位移方面最佳,在仰角位移方面最差。一般来说,性能随深度降低,尽管深度依赖性的性质很复杂。在某些条件下,跟踪性能足以用于监测器官运动。例如,在最高采样设置下,对于2毫米的位移,在所有深度和所有位移方向上都观察到了良好的准确性和精确性(误差和标准差<0.4毫米)。讨论了空间采样、时间分辨率和视野(FOV)大小之间的权衡。