Active Echo: A New Paradigm for Ultrasound Calibration

Active Echo: A New Paradigm for Ultrasound Calibration
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主动回波:超声校准的新范例

DOI:
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发表时间:
2014
期刊:
International Conference on Medical Image Computing and Computer-Assisted Intervention
影响因子:
--
通讯作者:
E. Boctor
E. Boctor
中科院分区:
--
文献类型:
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作者:
Xiaoyu Guo;Alexis Cheng;Haichong K. Zhang;Hyun;R. Etienne;E. Boctor

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在超声引导的医疗程序中,介入工具相对于US探头的准确跟踪对于患者安全和临床结果至关重要。超声探头跟踪需要一个不可避免的校准过程来恢复超声图像和跟踪坐标系之间的刚体变换。在文献中,几乎所有的校准方法都是在被动体模上进行的。这些校准方法存在若干挑战,包括依赖于超声图像质量和参数,例如频率、深度和波束厚度。在这项工作中,我们第一次介绍了一个主动回波(AE)的幻影,美国校准。体模主动检测并响应来自成像探头的US波束。这种主动方法允许独立于图像质量的超声图像中平面的可靠且准确的识别。它还支持自动点分割。目标定位和分割都可以自动完成,因此用户依赖性最小化。在机器人US实验装置中,将AE体模与金标准CW体模进行比较。结果表明,声发射校准体模的定位精度为223 μm,总体重建误差为850 μm。自动分割也进行了测试,并证明有类似的性能,手动分割。
In ultrasound-guided medical procedures, accurate tracking of interventional tools with respect to the US probe is crucial to patient safety and clinical outcome. US probe tracking requires an unavoidable calibration procedure to recover the rigid body transformation between the US image and the tracking coordinate system. In literature, almost all calibration methods have been performed on passive phantoms. There are several challenges to these calibration methods including dependency on ultrasound image quality and parameters such as frequency, depth, and beam-thickness. In this work, for the first time we introduce an active echo (AE) phantom for US calibration. The phantom actively detects and responds to the US beams from the imaging probe. This active approach allows reliable and accurate identification of the ultrasound image mid-plane independent of the image quality. It also enables automatic point segmentations. Both the target localization and segmentation can be done automatically, so the user dependency is minimized. The AE phantom is compared with a gold standard crosswire (CW) phantom in a robotic US experimental setup. The result indicates that AE calibration phantom provides a localization precision of 223 μm, and an overall reconstruction error of 850 μm. Autosegmentation is also tested and proved to have the similar performance as the manual segmentation.
DOI: 10.1016/0301-5629(94)90052-3
发表时间: 1994-01-01
影响因子: 2.9
作者:
DETMER, PR;BASHEIN, G;STRANDNESS, DE
通讯作者: STRANDNESS, DE