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Novel SLAM-based markerless motion tracking of conscious unrestrained rodents in PET

机译:基于宠物的新的奴役无价值运动跟踪宠物中的无拘无束的啮齿动物

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Motion-compensated positron emission tomography (PET) has the potential to improve translational investigations by allowing animals to behave normally and respond to external stimuli. Several groups have demonstrated the feasibility of performing motion-compensated brain PET on rodents, obtaining the necessary head motion data using marker-based techniques. However, markerless motion tracking would simplify animal experiments, be less invasive, and potentially provide more accurate pose estimates over a greater range of motion. We describe a markerless stereo motion tracking system and demonstrate the feasibility of using this system to obtain highly accurate (< 0.2 mm) pose estimates for realistic motion of a taxidermied rat head. The system is based on the simultaneous localization and mapping (SLAM) framework used in mobile robotics and involves building a consistent set of landmarks on the head for pose estimation. Pose measurements using the markerless system were approximately 10 times more accurate than a state-of-the-art marker-based system. Planning of experiments to validate markerless tracking in microPET imaging of awake animals is currently underway.
机译:运动补偿的正电子发射断层扫描(PET)有可能通过允许动物正常表现并响应外部刺激来改善平移调查。几个组已经证明了在啮齿动物上执行运动补偿脑宠物的可行性,使用基于标记的技术获得必要的头部运动数据。然而,无标记运动跟踪将简化动物实验,更少侵入性,并且可能提供更准确的姿态估计在更大范围的运动范围内。我们描述了无标记立体运动跟踪系统,并证明了使用该系统获得高精度(<0.2mm)姿态估计的可行性,以便现实的大鼠头部的现实运动。该系统基于移动机器人中使用的同时定位和映射(SLAM)框架,并涉及在头部上构建一组一致的地标进行姿势估计。使用无标记系统的姿势测量比最先进的基于标记的系统更准确的测量值大约10倍。目前正在进行实验实验以验证微移植物的无价值跟踪。

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