An approach to automatic evaluate registration performance for image guided navigation.
An approach to automatic evaluate registration performance for image guided navigation.
复制标题
一种自动评估图像引导导航配准性能的方法。
DOI：
10.1007/s11548-013-0863-1
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发表时间：
2013
影响因子：
3
通讯作者：
Clinthorne,N
中科院分区：
文献类型：
--
作者：
Li,S;Clinthorne,N
目的三维图像导航越来越多地应用于手术室的各种外科病例，特别是脑外科手术，极大地方便了手术。图像空间与物理空间的配准是该技术的关键。许多配准算法和方法已经被提出并应用到图像引导导航设备中，这些设备声称具有一定的精度，这表明外科医生在患者体内定位目标的平均精度。在特定情况下，由于人为错误或其他意外因素，注册错误可能偏离这个平均值。然而，在外科手术过程中，缺乏一个可靠的“指标”来衡量注册的准确性。一些基于基准标记的商用图像导航设备提供了基准配准误差，该配准误差与目标配准误差不相关，并且被证明是配准精度[1]的较差预测器。其他设备通常需要外科医生通过检查术前扫描图像与患者[2]之间的地标和表面的对应来直观和定性地估计配准精度。
PurposeThree dimensional image guided navigation is increasingly used in operating room (OR) for various surgical cases, especially for brain surgeries, and greatly facilitate the procedures. The registration between image space and physical space is crucial for this technology. Many registration algorithms and methods have been proposed and implemented into image guided navigation devices that claim certain accuracy, which indicates how accurate the surgeons can position a target inside of the patient in average. For particular case, the registration error could be off from this average number due to human error or other unexpected factors. However, a reliable “indicator” for the registration accuracy lacks through the surgical procedures. Several commercial image guided navigation devices based on fiducial marks provided fiducial registration error, which is uncorrelated to the target registration error and proven a poor predictor of registration accuracy [1]. Other devices usually require surgeons to visually and qualitatively estimate the registration accuracy by checking the corresponding on landmarks and surfaces between pre-op scan images and patients [2].