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Real-time MRI-guided needle intervention for cryoablation: A phantom study

机译:实时MRI引导的冷冻消融针干预:幻像研究

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MRI-guided needle intervention for cryoablation is a promising way to relieve the pain and treat the cancer. However, the limited size of MRI bore makes it impossible for clinicians to perform the operation in the bore. The patients had to be moved into the bore for scanning to verify the position of the needle's tip and out for adjusting the needle's trajectory. Real-time needle tracking and shown in MR images is of importance for clinicians to perform the operation more efficiently. In this paper, we have instrumented the cryotherapy needle with a MRI-safe electromagnetic (EM) sensor and optical sensor to measure the needle's position and orientation. To overcome the limitation of line-of-sight for optical sensor and the poor dynamic performance of the EM sensor, Kalman filter based data fusion is developed. Further, we developed a navigation system in open-source software, 3D Slicer, to provide accurate visualization of the needle and the surrounding anatomy. Experiment of simulation the needle intervention at the entrance was performed with a realistic spine phantom to quantify the accuracy of the navigation using the retrospective analysis method. Eleven trials of needle insertion were performed independently. The target accuracy with the navigation using only EM sensor, only optical sensor and data fusion are 2.27 ± 1.60 mm, 4.11 ± 1.77 mm and 1.91 ± 1.10 mm, respectively.
机译:MRI引导的冷冻消融针干预是减轻疼痛和治疗癌症的有前途的方法。但是,MRI孔的尺寸有限,使得临床医生无法在孔中执行操作。必须将患者移入孔中以进行扫描,以验证针尖的位置,然后移出以调整针的轨迹。实时针头跟踪并显示在MR图像中对于临床医生更有效地执行手术至关重要。在本文中,我们为冷冻疗法针头配备了MRI安全电磁(EM)传感器和光学传感器,以测量针头的位置和方向。为了克服光学传感器的视线限制和EM传感器的动态性能差,开发了基于卡尔曼滤波器的数据融合技术。此外,我们在开源软件3D Slicer中开发了导航系统,以提供对针头和周围解剖结构的精确可视化。使用回顾性分析方法,使用逼真的脊柱体模对入口处的针头干预进行模拟实验,以量化导航的准确性。独立进行了11次针头插入试验。仅使用EM传感器,仅使用光学传感器和数据融合的导航的目标精度分别为2.27±1.60 mm,4.11±1.77 mm和1.91±1.10 mm。

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