Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal.
ICVS/3B's-PT, Government Associate Laboratory, Braga/Guimarães, 4710-057, Portugal.
Med Phys. 2019 Mar;46(3):1115-1126. doi: 10.1002/mp.13369. Epub 2019 Jan 22.
As a crucial step in accessing the kidney in several minimally invasive interventions, percutaneous renal access (PRA) practicality and safety may be improved through the fusion of computed tomography (CT) and ultrasound (US) data. This work aims to assess the potential of a surface-based registration technique and establish an optimal US acquisition protocol to fuse two-dimensional (2D) US and CT data for image-guided PRA.
Ten porcine kidney phantoms with fiducial markers were imaged using CT and three-dimensional (3D) US. Both images were manually segmented and aligned. In a virtual environment, 2D contours were extracted by slicing the 3D US kidney surfaces and using usual PRA US-guided views, while the 3D CT kidney surfaces were transformed to simulate positional variability. Surface-based registration was performed using two methods of the iterative closest point algorithm (point-to-point, ICP1; and point-to-plane, ICP2), while four acquisition variants were studied: (a) use of single-plane (transverse, SP ; or longitudinal, SP ) vs bi-plane views (BP); (b) use of different kidney's coverage ranges acquired by a probe's sweep; (c) influence of sweep movements; and (d) influence of the spacing between consecutive slices acquired for a specific coverage range.
BP view showed the best performance (TRE = 2.26 mm) when ICP2 method, a wide kidney coverage range (20°, with slices spaced by 5°), and a large sweep along the central longitudinal view were used, showing a statistically similar performance (P = 0.097) to a full 3D US surface registration (TRE = 2.28 mm).
An optimal 2D US acquisition protocol was evaluated. Surface-based registration, using multiple slices and specific sweep movements and views, is here suggested as a valid strategy for intraoperative image fusion using CT and US data, having the potential to be applied to other image modalities and/or interventions.
在几种微创介入中,经皮肾入路 (PRA) 的实用性和安全性可以通过融合计算机断层扫描 (CT) 和超声 (US) 数据来提高。本研究旨在评估基于表面的配准技术的潜力,并建立一种最佳的 US 采集方案,以融合二维 (2D) US 和 CT 数据用于图像引导的 PRA。
对 10 个带有基准标记的猪肾模型进行 CT 和三维 (3D) US 成像。手动分割和对齐两种图像。在虚拟环境中,通过对 3D US 肾脏表面进行切片并使用常规 PRA US 引导视图提取 2D 轮廓,同时将 3D CT 肾脏表面转换为模拟位置变化。使用迭代最近点算法 (ICP1,点到点;ICP2,点到平面) 的两种方法进行基于表面的配准,同时研究了四种采集变体:(a) 使用单平面 (横断,SP;或纵向,SP) 与双平面视图 (BP);(b) 使用探头扫查获得的不同肾脏覆盖范围;(c) 扫查运动的影响;以及 (d) 用于特定覆盖范围的连续切片之间的间距的影响。
当使用 ICP2 方法、宽肾脏覆盖范围 (20°,切片间隔 5°) 和沿中央纵向视图的大扫查时,BP 视图显示出最佳性能 (TRE=2.26mm),与完整的 3D US 表面配准 (TRE=2.28mm) 具有统计学相似的性能 (P=0.097)。
评估了一种最佳的 2D US 采集方案。基于表面的配准,使用多个切片和特定的扫查运动和视图,被认为是使用 CT 和 US 数据进行术中图像融合的有效策略,有可能应用于其他图像模态和/或干预措施。