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首页> 外文期刊>The international journal of medical robotics + computer assisted surgery: MRCAS >Visual servoing for a US-guided therapeutic HIFU system by coagulated lesion tracking: a phantom study.
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Visual servoing for a US-guided therapeutic HIFU system by coagulated lesion tracking: a phantom study.

机译:通过凝结病灶跟踪对美国指导的治疗性HIFU系统进行视觉伺服:一项幻像研究。

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BACKGROUND: Applying ultrasound (US)-guided high-intensity focused ultrasound (HIFU) therapy for kidney tumours is currently very difficult, due to the unclearly observed tumour area and renal motion induced by human respiration. In this research, we propose new methods by which to track the indistinct tumour area and to compensate the respiratory tumour motion for US-guided HIFU treatment. METHODS: For tracking indistinct tumour areas, we detect the US speckle change created by HIFU irradiation. In other words, HIFU thermal ablation can coagulate tissue in the tumour area and an intraoperatively created coagulated lesion (CL) is used as a spatial landmark for US visual tracking. Specifically, the condensation algorithm was applied to robust and real-time CL speckle pattern tracking in the sequence of US images. Moreover, biplanar US imaging was used to locate the three-dimensional position of the CL, and a three-actuator system drives the end-effector to compensate for the motion. Finally, we tested the proposed method by using a newly devised phantom model that enables both visual tracking and a thermal response by HIFU irradiation. RESULTS: In the experiment, after generation of the CL in the phantom kidney, the end-effector successfully synchronized with the phantom motion, which was modelled by the captured motion data for the human kidney. The accuracy of the motion compensation was evaluated by the error between the end-effector and the respiratory motion, the RMS error of which was approximately 2 mm. CONCLUSION: This research shows that a HIFU-induced CL provides a very good landmark for target motion tracking. By using the CL tracking method, target motion compensation can be realized in the US-guided robotic HIFU system. Copyright (c) 2011 John Wiley & Sons, Ltd.
机译:背景技术:由于不清楚的观察到的肿瘤区域和人类呼吸引起的肾脏运动,目前在超声(US)引导下的高强度聚焦超声(HIFU)治疗肾脏肿瘤非常困难。在这项研究中,我们提出了新的方法,通过这些方法可以跟踪模糊不清的肿瘤区域并补偿US引导HIFU治疗中的呼吸道肿瘤运动。方法:为了追踪模糊的肿瘤区域,我们检测了HIFU照射产生的US散斑变化。换句话说,HIFU热消融可以使肿瘤区域的组织凝结,并且术中产生的凝结病变(CL)被用作US视觉跟踪的空间标志。具体而言,将浓缩算法应用于US图像序列中的鲁棒实时CL散斑图案跟踪。此外,使用双平面US成像来定位CL的三维位置,并且由三执行器系统驱动末端执行器以补偿运动。最后,我们通过使用新设计的幻像模型测试了提出的方法,该模型能够通过HIFU照射实现视觉跟踪和热响应。结果:在实验中,幻影肾脏中生成了CL后,末端执行器成功地与幻影运动同步,该幻影运动通过捕获的人类肾脏运动数据进行建模。运动补偿的准确性通过末端执行器和呼吸运动之间的误差来评估,其RMS误差约为2 mm。结论:这项研究表明,HIFU诱导的CL为目标运动跟踪提供了很好的标志。通过使用CL跟踪方法,可以在美国制导的机器人HIFU系统中实现目标运动补偿。版权所有(c)2011 John Wiley&Sons,Ltd.

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