Feasibility of 3D motion-compensated needle guidance for TIPS procedures

M. Wagner, S. Periyasamy, M. Speidel, P. Laeseke
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引用次数: 1

Abstract

X-ray fluoroscopy is commonly used to guide needles during transjugular intrahepatic portosystemic shunt (TIPS) procedures. Respiratory motion and the 2D nature of the x-ray projections, however, make it difficult to accurately guide the needle from a hepatic vein, through the liver parenchyma, and into the portal vein, which is not visible on x-ray images in the absence of continuous contrast-enhancement. Due to these challenges, multiple needle passes are often required, which increase the risk for perforation of the liver capsule and hemorrhage. To overcome these challenges, we propose a motion-compensated 3D needle guidance system, which generates a respiratory motion model of the portal venous system using a 3D DSA and a contrast enhanced 2D x-ray sequence acquired under free breathing conditions. The respiratory motion is tracked during the needle pass based on brightness variations above and below the diaphragm in the 2D images, which allows for creation of a motion-compensated surface model of the target vasculature. Additionally, a 3D needle reconstruction algorithm from two 2D x-ray images is presented, which allows for motion-compensated 3D device imaging. A preliminary pig study was performed to evaluate the feasibility of the proposed techniques. The biplane needle reconstruction was compared to conventional cone beam CT acquisitions, where a root mean squared distance of 0.98 mm and a tip localization error of 1.22 mm were measured. The maximum error of the estimated vascular motion per frame in the two pig studies was 0.63 mm and 1.63 mm respectively. If successfully translated to clinical TIPS procedures, the proposed needle guidance could result in fewer unnecessary needle passes and therefore shorter procedure times and lower risk to the patient.
三维运动补偿针导向在TIPS手术中的可行性
在经颈静脉肝内门静脉系统分流术(TIPS)过程中,x线透视通常用于引导针头。然而,呼吸运动和x线投影的二维性质使得很难准确地引导针从肝静脉穿过肝实质进入门静脉,而门静脉在没有连续增强的x线图像上是不可见的。由于这些挑战,通常需要多次穿刺,这增加了肝包膜穿孔和出血的风险。为了克服这些挑战,我们提出了一种运动补偿的3D针引导系统,该系统使用在自由呼吸条件下获得的3D DSA和对比度增强的2D x射线序列生成门静脉系统的呼吸运动模型。在针头通过的过程中,呼吸运动是基于二维图像中膈膜上下的亮度变化来跟踪的,这允许创建目标血管系统的运动补偿表面模型。此外,提出了一种基于两张2D x射线图像的3D针重建算法,该算法允许运动补偿的3D设备成像。对猪进行了初步研究,以评估所提出技术的可行性。将双平面针重建与传统锥束CT图像进行比较,测量到的均方根距离为0.98 mm,针尖定位误差为1.22 mm。在两项猪研究中,每帧估计血管运动的最大误差分别为0.63 mm和1.63 mm。如果成功地转化为临床TIPS程序,建议的针头指导可以减少不必要的针头通过,从而缩短手术时间,降低患者的风险。
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