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Concept and simulation study of a novel localization method for robotic endoscopic capsules using multiple positron emission markers

机译:一种使用多个正电子发射标记的机器人内窥镜胶囊新型定位方法的概念和仿真研究

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Purpose: Over the last decade, wireless capsule endoscope has been the tool of choice for noninvasive inspection of the gastrointestinal tract, especially in the small intestine. However, the latest clinical products have not been equipped with a sufficiently accurate localization system which makes it difficult to determine the location of intestinal abnormalities, and to apply follow-up interventions such as biopsy or drug delivery. In this paper, the authors present a novel localization method based on tracking three positron emission markers embedded inside an endoscopic capsule. Methods: Three spherical ~(22)Na markers with diameters of less than 1 mm are embedded in the cover of the capsule. Gamma ray detectors are arranged around a patient body to detect coincidence gamma rays emitted from the three markers. The position of each marker can then be estimated using the collected data by the authors' tracking algorithm which consists of four consecutive steps: a method to remove corrupted data, an initialization method, a clustering method based on the Fuzzy C-means clustering algorithm, and a failure prediction method.Results: The tracking algorithm has been implemented in MATLAB utilizing simulation data generated from the Geant4 Application for Emission Tomography toolkit. The results show that this localization method can achieve real-time tracking with an average position error of less than 0.4 mm and an average orientation error of less than 2°. Conclusions: The authors conclude that this study has proven the feasibility and potential of the proposed technique in effectively determining the position and orientation of a robotic endoscopic capsule.
机译:目的:在过去的十年中,无线胶囊内窥镜一直是胃肠道(尤其是小肠)无创检查的首选工具。但是,最新的临床产品还没有配备足够准确的定位系统,这使得很难确定肠道异常的位置,并且难以进行活检或药物输送等后续干预措施。在本文中,作者提出了一种基于跟踪内窥镜胶囊内部嵌入的三个正电子发射标记的新型定位方法。方法:将三个直径小于1 mm的球形〜(22)Na标记物嵌入胶囊盖中。伽马射线检测器围绕患者身体布置,以检测从三个标记物发出的一致伽马射线。然后可以通过作者的跟踪算法使用收集到的数据估算每个标记的位置,该算法包括四个连续的步骤:删除损坏数据的方法,初始化方法,基于模糊C均值聚类算法的聚类方法,结果:跟踪算法已经在MATLAB中实现,利用了从Geant4的Emission Tomography应用工具包生成的仿真数据。结果表明,该定位方法可以实现实时跟踪,平均位置误差小于0.4 mm,平均方向误差小于2°。结论:作者得出结论,这项研究证明了所提出的技术在有效确定机器人内窥镜胶囊的位置和方向方面的可行性和潜力。

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