利用自动乳腺体积扫描仪(ABVS)进行三维针导向

M. Abayazid, P. Moreira, Navid Shahriari, Anastasios Zompas, S. Misra
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引用次数: 11

摘要

机器人辅助和超声引导的针头插入系统有助于实现不同应用的高瞄准精度。在本文中,我们介绍了使用自动乳腺体积扫描仪(ABVS)扫描不同的软组织幻象。ABVS是一种商用超声换能器,用于临床乳房扫描。术前扫描进行三维(3D)目标定位和形状重建。超声换能器还适于用于在转向局部目标期间跟踪针尖。该系统使用跟踪的针尖位置作为对针控算法的反馈。斜尖柔性针在ABVS引导下朝向目标,同时避开嵌入软组织幻影中的障碍物。我们给出了不同尺寸的凸和非凸物体的三维重建实验结果。采用平均绝对距离法和Dice系数法对三维形状重建算法进行了评价。结果表明,凸型和非凸型的MAD平均值分别为0.30±0.13mm和0.34±0.17mm, Dice平均值分别为0.87±0.06(凸型)和0.85±0.06(非凸型)。通过三个实验案例对转向系统进行了验证。在明胶模型、生物组织模型和人类乳房模型中获得的平均瞄准误差分别为0.54±0.24、1.50±0.82和1.82±0.40mm。所获得的靶向误差表明,我们的方法足以靶向3mm半径的病变,可以使用临床超声成像系统检测到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Three-Dimensional Needle Steering Using Automated Breast Volume Scanner (ABVS)
Robot-assisted and ultrasound-guided needle insertion systems assist in achieving high targeting accuracy for different applications. In this paper, we introduce the use of Automated Breast Volume Scanner (ABVS) for scanning different soft tissue phantoms. The ABVS is a commercial ultrasound transducer used for clinical breast scanning. A preoperative scan is performed for three-dimensional (3D) target localization and shape reconstruction. The ultrasound transducer is also adapted to be used for tracking the needle tip during steering toward the localized targets. The system uses the tracked needle tip position as a feedback to the needle control algorithm. The bevel-tipped flexible needle is steered under ABVS guidance toward a target while avoiding an obstacle embedded in soft tissue phantom. We present experimental results for 3D reconstruction of different convex and non-convex objects with different sizes. Mean Absolute Distance (MAD) and Dice’s coefficient methods are used to evaluate the 3D shape reconstruction algorithm. The results show that the mean MAD values are 0.30±0.13mm and 0.34±0.17mm for convex and non-convex shapes, respectively, while mean Dice values are 0.87±0.06 (convex) and 0.85±0.06 (non-convex). Three experimental cases are performed to validate the steering system. Mean targeting errors of 0.54±0.24, 1.50±0.82 and 1.82±0.40mm are obtained for steering in gelatin phantom, biological tissue and a human breast phantom, respectively. The achieved targeting errors suggest that our approach is sufficient for targeting lesions of 3mm radius that can be detected using clinical ultrasound imaging systems.
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