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关于结合内部和外部基准进行肝脏运动补偿。

On combining internal and external fiducials for liver motion compensation.

作者信息

Maier-Hein Lena, Tekbas Aysun, Franz Alfred M, Tetzlaff Ralf, Müller Sascha A, Pianka Frank, Wolf Ivo, Kauczor Hans-Ulrich, Schmied Bruno M, Meinzer Hans-Peter

机构信息

Division of Medical and Biological Informatics, German Cancer Research Center, Heidelberg, Germany.

出版信息

Comput Aided Surg. 2008 Nov;13(6):369-76. doi: 10.3109/10929080802610674.

Abstract

This paper presents an in-vivo accuracy study on combining skin markers (external fiducials) and fiducial needles (internal fiducials) for motion compensation during liver interventions. We compared the target registration error (TRE) for different numbers of skin markers n(s) and fiducial needles n(f), as well as for different transformation types, in two swine using the tip of an additional tracked needle as the target. During continuous breathing, n(f) had the greatest effect on the accuracy, yielding mean root mean square (RMS) errors of 4.8 +/- 1.1 mm (n(f) = 0), 2.0 +/- 0.9 mm (n(f) = 1) and 1.7 +/- 0.8 mm (n(f) = 2) when averaged over multiple tool arrangements (n = 18, 36, 18) with n(s) = 4. These values correspond to error reductions of 11%, 64% and 70%, respectively, compared to the case when no motion compensation is performed, i.e., when the target position is assumed to be constant. At expiration, the mean RMS error ranged from 1.1 mm (n(f) = 0) to 0.8 mm (n(f) = 2), which is of the order of magnitude of the target displacement. Our study further indicates that the fiducial registration error (FRE) of a rigid transformation reflecting tissue motion generally correlates strongly with the TRE. Our findings could be used in practice to (1) decide on a suitable combination of fiducials for a given intervention, considering the trade-off between high accuracy and low invasiveness, and (2) provide an intra-interventional measure of confidence for the accuracy of the system based on the FRE.

摘要

本文介绍了一项关于在肝脏介入手术中结合皮肤标记物(外部基准点)和基准针(内部基准点)进行运动补偿的体内精度研究。我们以另一根跟踪针的针尖为目标,在两头猪身上比较了不同数量的皮肤标记物n(s)和基准针n(f)以及不同变换类型的目标配准误差(TRE)。在连续呼吸过程中,n(f)对精度影响最大,当n(s)=4,在多种工具布置(n = 18、36、18)上平均时,得到的均方根(RMS)误差均值分别为4.8±1.1毫米(n(f)=0)、2.0±0.9毫米(n(f)=1)和1.7±0.8毫米(n(f)=2)。与不进行运动补偿(即假设目标位置恒定)的情况相比,这些值分别对应误差降低了11%、64%和70%。在呼气时,均方根误差均值范围从1.1毫米(n(f)=0)到0.8毫米(n(f)=2),与目标位移处于同一数量级。我们的研究还表明,反映组织运动的刚性变换的基准配准误差(FRE)通常与TRE密切相关。我们 的研究结果可在实际中用于:(1)考虑高精度和低侵入性之间的权衡,为给定的介入手术确定合适的基准点组合;(2)基于FRE为系统精度提供介入过程中的置信度度量。

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