Franz A M, Schmitt D, Seitel A, Chatrasingh M, Echner G, Oelfke U, Nill S, Birkfellner W, Maier-Hein L
Junior Group Computer-assisted Interventions, DKFZ, 69121 Heidelberg, Germany.
Phys Med Biol. 2014 Nov 21;59(22):6797-810. doi: 10.1088/0031-9155/59/22/6797. Epub 2014 Oct 21.
Electromagnetic (EM) tracking allows localization of small EM sensors in a magnetic field of known geometry without line-of-sight. However, this technique requires a cable connection to the tracked object. A wireless alternative based on magnetic fields, referred to as transponder tracking, has been proposed by several authors. Although most of the transponder tracking systems are still in an early stage of development and not ready for clinical use yet, Varian Medical Systems Inc. (Palo Alto, California, USA) presented the Calypso system for tumor tracking in radiation therapy which includes transponder technology. But it has not been used for computer-assisted interventions (CAI) in general or been assessed for accuracy in a standardized manner, so far. In this study, we apply a standardized assessment protocol presented by Hummel et al (2005 Med. Phys. 32 2371-9) to the Calypso system for the first time. The results show that transponder tracking with the Calypso system provides a precision and accuracy below 1 mm in ideal clinical environments, which is comparable with other EM tracking systems. Similar to other systems the tracking accuracy was affected by metallic distortion, which led to errors of up to 3.2 mm. The potential of the wireless transponder tracking technology for use in many future CAI applications can be regarded as extremely high.
电磁(EM)跟踪可在无需视线的已知几何形状磁场中对小型EM传感器进行定位。然而,该技术需要与被跟踪物体进行电缆连接。几位作者提出了一种基于磁场的无线替代方案,称为应答器跟踪。尽管大多数应答器跟踪系统仍处于早期开发阶段,尚未准备好用于临床,但瓦里安医疗系统公司(美国加利福尼亚州帕洛阿尔托)推出了用于放射治疗中肿瘤跟踪的Calypso系统,其中包括应答器技术。但到目前为止,它尚未普遍用于计算机辅助干预(CAI),也未以标准化方式进行准确性评估。在本研究中,我们首次将Hummel等人(2005年,《医学物理》,第32卷,2371 - 2379页)提出的标准化评估方案应用于Calypso系统。结果表明,在理想临床环境中,Calypso系统的应答器跟踪精度和准确度低于1毫米,这与其他EM跟踪系统相当。与其他系统类似,跟踪精度受金属畸变影响,导致误差高达3.2毫米。无线应答器跟踪技术在未来许多CAI应用中的潜力可被视为极高。
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