Automatic Doppler Volume Fusion of 3D Ultrasound using Point-based Registration of Shared Bifurcation Points
Automatic Doppler Volume Fusion of 3D Ultrasound using Point-based Registration of Shared Bifurcation Points
复制标题
DOI：
10.14326/abe.4.27
复制
发表时间：
2015-02
影响因子：
1
通讯作者：
S. Onogi;T. Phan;T. Mochizuki;K. Masuda
中科院分区：
文献类型：
--
作者：
S. Onogi;T. Phan;T. Mochizuki;K. Masuda
我们先前提出了使用声学微泡递送在血管中作为微泡的治疗应用，以提高高强度聚焦超声的效率和声学靶向药物治疗的效率。该技术的技术要求之一是血管网络的详细可视化，以围绕肿瘤等目标进行导航。为此，可以通过矩阵阵列成像探头采集的三维（3D）多普勒体积是非常方便的，因为它们允许在不分割的情况下提取血管结构。然而，由于多普勒信号依赖于流动方向，因此可获取的体积是有限且不完整的。为了弥补这些问题，需要超声体积融合技术。在这项研究中，我们提出了一种血管体积融合方法之间的自动注册共享分叉。此外，我们提出了一种新的三维超声校准方法，这是需要确定的初始变换。在此校准中，使用了几种光学标记作为Ducial标记。为了检查所提出的方法的可行性，使用阿尔蒂血管和人类受试者进行校准精度和体积融合精度评估。关于校准精度，所提出的方法的目标配准误差为2.2 mm。关于阿尔蒂血管中的体积融合精度，共享分叉之间的平均距离从2.4 mm（通过跟踪数据的初始变换）减少到0.5 mm（共享分叉的配准）。关于人体血管的体积融合，距离也从10.4 mm减少到0.3 mm。结果表明，所提出的方法是准确的，用于构建大而完整的血管网络导航的微泡输送。此外，所述方法还可用于提取术中血管网络以支持微创手术或治疗。
We previously proposed the use of acoustic microbubble delivery in blood vessels as a therapeutic application of microbubbles to improve the ef ciency of high-intensity focused ultrasound and the ef cacy of acoustic targeted drug therapy. Among the technical requirements for this technique is detailed visualization of the blood vessel network for navigation around a target such as a tumor. For this purpose, three-dimensional (3D) Doppler volumes, which can be acquired by matrix array imaging probes, are quite convenient because they allow the blood vessel structure to be extracted without segmentation. However, the acquirable volume is limited and incomplete because the Doppler signal depends on ow direction. To compensate for these issues, an ultrasound volume fusion technique is required. In this study, we propose a blood vessel volume fusion method by automatic registration among shared bifurcations. In addition, we propose a novel 3D ultrasound calibration method, which is needed to determine the initial transformation. Several optical markers are used as ducial markers in this calibration. To examine the feasibility of the proposed methods, calibration accuracy and volume fusion accuracy assessments were conducted using an arti cial blood vessel and in human subjects. Regarding calibration accuracy, the target registration error of the proposed method was 2.2 mm. Regarding volume fusion accuracy in the arti cial blood vessel, the mean distance between the shared bifurcations was reduced from 2.4 mm (initial transformation by tracking data) to 0.5 mm (registration of shared bifurcations). Regarding the volume fusion of blood vessels in human subjects, the distance was also reduced from 10.4 mm to 0.3 mm. The results demonstrate that the proposed methods are accurate for constructing large and complete blood vessel networks for navigation of microbubble delivery. Moreover, the methods may also be useful for extracting intraoperative blood vessel network to support minimally invasive surgery or therapy.