首页> 外文会议>Visualization, Image-Guided Procedures, and Display pt.1; Progress in Biomedical Optics and Imaging; vol.6,no.21 >Fiducial registration for tracking systems that employ coordinate reference frames
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Fiducial registration for tracking systems that employ coordinate reference frames

机译:使用坐标参考系的跟踪系统的基准配准

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An algorithm is presented that is designed for image-guidance systems that employ coordinate reference frames. It is common in image-guided surgery (IGS) to use a tracking system to determine the position of fiducial markers in physical space. Typically a "Coordinate Reference Frame" (CRF), is also employed, which is rigidly attached to the object being tracked. The positions of markers attached to the object are then measured in physical space relative to the CRF, and hence it is acceptable to allow the object to move during tracking. It is known that errors are introduced while localizing markers in image space and also while localizing markers in physical space using a probe. The use of a CRF causes additional error, which is anissotropic in nature and varies with the position of the marker being tracked relative to the CRF. This additional error has heretofore not been accounted for in the process of registering image space to physical space. We present in this paper a new rigid-body, point-based registration algorithm that accounts for the fiducial localization errors that arise in tracking systems that employ a coordinate reference frame. Simulations are presented that show that for such systems the new algorithm has the capability to perform better than the standard registration algorithm. The effect is enhanced for small CRFs and for marker configurations that are widely spaced relative to their mean distance from the CRF.
机译:提出了一种为采用坐标参考系的图像制导系统设计的算法。在图像引导手术(IGS)中,通常使用跟踪系统来确定基准标记在物理空间中的位置。典型地,还使用“坐标参考框架”(CRF),其牢固地附接到被跟踪的对象。然后在相对于CRF的物理空间中测量附着到对象的标记的位置,因此允许对象在跟踪过程中移动。已知在使用探针在图像空间中定位标记以及在物理空间中定位标记时会引入错误。 CRF的使用会引起其他误差,该误差本质上是各向异性的,并且会随所跟踪的标记相对于CRF的位置而变化。迄今为止,在将图像空间注册到物理空间的过程中尚未解决该附加错误。我们在本文中提出了一种新的基于点的刚体配准算法,该算法解决了在采用坐标参考系的跟踪系统中出现的基准定位误差。仿真结果表明,对于此类系统,新算法具有比标准注册算法更好的性能。对于小型CRF和相对于其与CRF的平均距离相距较远的标记配置,效果会得到增强。

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