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An automated robot arm system for small animal tissue biopsy under dual-image modality

机译:双图像模式下用于小型动物组织活检的自动机械臂系统

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The ability to non-invasively monitor cell biology in vivo is one of the most important goals of molecular imaging. Imaging procedures could be inter-subject performed repeatedly at different investigating stages; thereby need not sacrifice small animals during the entire study period. Thus, the ultimate goal of this study was to design a stereotactic image-guided system for small animals and integrated it with an automatic robot arm for in vivo tissue biopsy analysis. The system was composed of three main parts, including one small animal stereotactic frame, one imaging-fusion software and an automatic robot arm system. The system has been thoroughly evaluated with three components; the robot position accuracy was 0.05 ± 0.02 mm, the image registration accuracy was 0.37 ± 0.18 mm and the system integration was satisfactorily within 1.20 ± 0.39 mm of error. From these results, the system demonstrated sufficient accuracy to guide the micro-injector from the planned delivery routes into practice. The entire system accuracy was limited by the image fusion and orientation procedures, due to its nature of the blurred PET imaging obtained from the small objects. The primary improvement is to acquire as higher resolution as possible the fused imaging for localizing the targets in the future.
机译:体内非侵入性监测细胞生物学的能力是分子成像的最重要目标之一。成像程序可以在不同的研究阶段重复进行。因此,在整个研究期间无需牺牲小动物。因此,这项研究的最终目标是为小动物设计一种立体定向图像引导系统,并将其与自动机械臂集成在一起,以进行体内组织活检分析。该系统由三个主要部分组成,包括一个小动物立体定向框架,一个成像融合软件和一个自动机械臂系统。该系统已由三个部分进行了全面评估:机器人位置精度为0.05±0.02 mm,图像套准精度为0.37±0.18 mm,系统集成度在误差1.20±0.39 mm之内令人满意。从这些结果来看,该系统显示出足够的准确性,可以指导微型注射器从计划的输送路线付诸实践。由于从小物体获得的模糊PET成像的性质,整个系统的精度受到图像融合和定位程序的限制。主要的改进是在将来获得尽可能高的分辨率以对目标进行定位的融合成像。

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