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颅外超声表面点云与经颅多普勒:提高经颅多普勒超声重复性、可视化和导航的颅外超声表面点云与磁共振血管造影的配准。

Surface Point Cloud Ultrasound with Transcranial Doppler: Coregistration of Surface Point Cloud Ultrasound with Magnetic Resonance Angiography for Improved Reproducibility, Visualization, and Navigation in Transcranial Doppler Ultrasound.

机构信息

Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, 10065, United States.

Department of Neurology, Columbia University Medical Center, New York, NY, 10032, USA.

出版信息

J Digit Imaging. 2020 Aug;33(4):930-936. doi: 10.1007/s10278-020-00328-y.

Abstract

Transcranial Doppler (TCD) ultrasound is a standard tool used in the setting of recent sub-arachnoid hemorrhage (SAH). By tracking velocity in the circle-of-Willis vessels, vasospasm can be detected as interval velocity increase. For this disease process, repeated TCD velocity measurements over many days is the basis for its usefulness. However, a key limitation to TCD is its user dependence, which is itself largely due to the fact that exact information about probe positioning is lost between subsequent scans. Surface point cloud ultrasound (SPC-US) was recently introduced as a general approach combining ultrasound and three-dimensional surface imaging of patient + probe. In the present proof-of-principle demonstration, we have applied SPC-US to TCD and co-registered the skin surface with that from MRA images to provide a roadmap of the vasculature in 3D space for better speed, accuracy, reproducibility, and potential semi-automation of TCD. Collating the acronyms, we call the combined approach SPC-US-TCD. TCD of the M1 was obtained while three-dimensional photographic images were obtained with the Structure Sensor camera. MRA imaging was also obtained. SPC-US-TCD and corresponding MRA 3D reconstruction images were co-registered in MeshMixer using the skin surfaces for alignment. A cylinder the width of the TCD probe was placed over the fused images and aligned with the direction and orientation of the TCD probe to demonstrate the acoustic beam. In the fused images, the acoustic beam intersects the right M1 segment of the middle cerebral artery (MCA). The angle of insonation is well demonstrated and measurable in various planes. Distance measurements made in Blender localized the TCD probe position based on three skin surface landmarks, and tabulated orientation based on three angles along the corresponding directions. SPC-US-TCD provides valuable information that is otherwise not present in TCD studies. By co-registering SPC-US-TCD data with that from cross sectional vessel imaging, precise probe location relative to external skin surface landmarks as well as 3D vessel location relative to TCD probe placement offers the potential to provide a roadmap that improves exam reproducibility, speed of acquisition, and accuracy. The goal of future work is to demonstrate this improvement statistically by application to multiple patients and scans.

摘要

经颅多普勒 (TCD) 超声是蛛网膜下腔出血 (SAH) 后常规使用的一种标准工具。通过跟踪 Willis 环血管中的速度,可以检测到血管痉挛,表现为间隔速度增加。对于这种疾病过程,需要在许多天内重复进行 TCD 速度测量,这是其有用性的基础。然而,TCD 的一个关键限制是其对使用者的依赖性,这主要是因为在随后的扫描之间会丢失探头定位的确切信息。最近,表面点云超声 (SPC-US) 作为一种将超声与患者+探头的三维表面成像相结合的通用方法被引入。在本原理验证研究中,我们将 SPC-US 应用于 TCD,并将皮肤表面与 MRA 图像进行配准,为 TCD 的速度、准确性、可重复性和潜在的半自动性提供了血管在 3D 空间中的路线图。将缩写词结合起来,我们称之为 SPC-US-TCD。M1 的 TCD 是在使用 Structure Sensor 相机获得三维摄影图像的同时获得的。还获得了 MRA 成像。在 MeshMixer 中使用皮肤表面进行对齐,对 SPC-US-TCD 和相应的 MRA 3D 重建图像进行配准。将探头宽度的一个圆柱放在融合图像上,并与 TCD 探头的方向和方位对齐,以演示声束。在融合图像中,声束与大脑中动脉 (MCA) 的右侧 M1 段相交。在各个平面上都很好地演示和可测量入射角。在 Blender 中进行的距离测量基于三个皮肤表面标志点定位 TCD 探头的位置,并根据三个沿相应方向的角度进行表定方向。SPC-US-TCD 提供了 TCD 研究中没有的有价值的信息。通过将 SPC-US-TCD 数据与截面血管成像进行配准,可以精确地确定探头相对于外部皮肤表面标志点的位置以及相对于 TCD 探头放置的血管的 3D 位置,从而有可能提供一种改善检查可重复性、采集速度和准确性的路线图。未来的工作目标是通过对多个患者和扫描的应用来证明这种改进的统计学意义。

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