Active point out-of-plane ultrasound calibration
Active point out-of-plane ultrasound calibration
复制标题
有源点面外超声校准
DOI：
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
E. Boctor
中科院分区：
文献类型：
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作者：
Alexis Cheng;Xiaoyu Guo;Haichong K. Zhang;Hyun;R. Etienne;E. Boctor
图像引导手术系统通常用于为外科医生提供信息支持。由于几个独特的优势，如易用性，实时图像采集，没有电离辐射，超声是一种常见的术中医疗成像模式，用于图像引导手术系统。为了使用超声执行高级形式的引导，例如虚拟图像叠加或自动机器人致动，必须执行超声校准过程。该过程恢复附接到换能器的跟踪标记与超声图像之间的刚体变换。基于点的幻影被认为是准确的，但他们的校准框架假设该点在图像平面中。在这项工作中，我们提出了使用一个活跃的点幻影和校准框架，占点的高程不确定性。给定该点在超声图像中的横向和轴向位置，我们在轴向立面中近似为半径等于轴向位置的圆。标准方法将所有成像点转换为单个物理点。在我们的方法中，我们最小化每个图像的圆形子集之间的距离，它们理想地相交于一个点。我们在无噪声和有噪声的情况下进行了模拟，给出了平面外估计误差、校准估计误差和点重建精度的结果。我们还进行了实验，使用机器人手臂作为跟踪器，导致点重建精度为0.64mm。
Image-guided surgery systems are often used to provide surgeons with informational support. Due to several unique advantages such as ease of use, real-time image acquisition, and no ionizing radiation, ultrasound is a common intraoperative medical imaging modality used in image-guided surgery systems. To perform advanced forms of guidance with ultrasound, such as virtual image overlays or automated robotic actuation, an ultrasound calibration process must be performed. This process recovers the rigid body transformation between a tracked marker attached to the transducer and the ultrasound image. Point-based phantoms are considered to be accurate, but their calibration framework assumes that the point is in the image plane. In this work, we present the use of an active point phantom and a calibration framework that accounts for the elevational uncertainty of the point. Given the lateral and axial position of the point in the ultrasound image, we approximate a circle in the axial-elevational plane with a radius equal to the axial position. The standard approach transforms all of the imaged points to be a single physical point. In our approach, we minimize the distances between the circular subsets of each image, with them ideally intersecting at a single point. We simulated in noiseless and noisy cases, presenting results on out-of-plane estimation errors, calibration estimation errors, and point reconstruction precision. We also performed an experiment using a robot arm as the tracker, resulting in a point reconstruction precision of 0.64mm.
影响因子：
2.9
作者：
DETMER, PR;BASHEIN, G;STRANDNESS, DE
通讯作者：
STRANDNESS, DE