Evaluation of robot-based registration for subtraction radiography.
Evaluation of robot-based registration for subtraction radiography.
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DOI：
10.1016/s1361-8415(99)80023-1
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发表时间：
1999-09-01
影响因子：
10.9
通讯作者：
Levy, G
中科院分区：
文献类型：
--
作者：
Burdea, G C;Dunn, S M;Levy, G
数字减影（平面片）X线片的一个领域的利益采取了随着时间的推移是一个强大的诊断工具。例如，在牙科中，这用于检测和治疗牙周病（即导致支持牙齿的骨丢失的疾病序列）。减影摄影的前提是胶片与X射线源的正确三维配准，否则减影图像就毫无意义。小的未对准可以通过数字化胶片的后处理（通过对应和校正）来补偿，以去除由于定位误差而引起的伪影。本文提出了一种新的减影X线摄影方法，它取代了传统的机械对准方法（如支架或头部固定器）与机器人。机械支架是一种短杆，一端连接到X射线源，另一端连接到从患者口中伸出的机械装置。构建了一个实验系统，该系统通过集成塑料口腔器具（带有患者牙齿的印模），携带X射线源的机器人和主机来创建“传感器支架”。结果表明，机器人系统是上级的机械对准方法，由于其出色的精度和可重复性。这导致未配准的X射线图像中的变化小得多，并且总体上减影图像的强度的标准偏差较小。结果表明，在未来，包括减影X线摄影的诊断研究将不需要机械对准（不精确）或后处理配准（耗时）。
Digital subtraction of (plane film) radiographs of an area of interest taken over time is a powerful diagnostic tool. In dentistry for example, this is used to detect and treat periodontal disease (i.e. the sequence of diseases that leads to the loss of bone supporting the teeth). A precondition of subtraction radiography is correct three-dimensional registration of the film and X-ray source, without which the subtraction images are meaningless. A small misalignment can be compensated for by post-processing of the digitized films (by correspondence and rectification) to remove artifacts due to positioning errors. This paper presents a novel approach to subtraction radiography which replaces customary mechanical alignment methods (such as a stent or cephalostat) with a robot. A mechanical stent is a short rod attached at one end to the X-ray source and at the other to a mechanical appliance protruding from the patient's mouth. An experimental system was constructed which creates a 'sensorized stent' by integrating a plastic mouth appliance (with the impression of the patient's teeth), a robot carrying an X-ray source and a host computer. Results showed that the robotic system was superior to the mechanical alignment approach, due to its excellent accuracy and repeatability. This resulted in much less variation in the non-registered X-ray images, and in a smaller standard deviation in the intensities of subtracted images overall. The results suggest that in the future, diagnostic studies including subtraction radiography will not need either mechanical alignment (which is imprecise) or post-processing registration (which is time consuming).