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Repurposing the Microsoft Kinect for Windows v2 for external head motion tracking for brain PET

机译:重新使用Microsoft Kinect for Windows v2进行大脑PET的外部头部运动跟踪

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Medical imaging systems such as those used in positron emission tomography (PET) are capable of spatial resolutions that enable the imaging of small, functionally important brain structures. However, the quality of data from PET brain studies is often limited by subject motion during acquisition. This is particularly challenging for patients with neurological disorders or with dynamic research studies that can last 90 min or more. Restraining head movement during the scan does not eliminate motion entirely and can be unpleasant for the subject. Head motion can be detected and measured using a variety of techniques that either use the PET data itself or an external tracking system. Advances in computer vision arising from the video gaming industry could offer significant benefits when re-purposed for medical applications. A method for measuring rigid body type head motion using the Microsoft Kinect v2 is described with results presenting. 0.5 mm spatial accuracy. Motion data is measured in real-time at 30 Hz using the KinectFusion algorithm. Non-rigid motion is detected using the residual alignment energy data of the KinectFusion algorithm allowing for unreliable motion to be discarded. Motion data is aligned to PET listmode data using injected pulse sequences into the PET/CT gantry allowing for correction of rigid body motion. Pilot data from a clinical dynamic PET/CT examination is shown.
机译:医学成像系统,例如用于正电子发射断层扫描(PET)的系统,具有空间分辨率,可以对功能重要的小型大脑结构进行成像。但是,PET脑部研究的数据质量通常受到采集过程中受试者运动的限制。对于神经系统疾病患者或持续90分钟或更长时间的动态研究而言,这尤其具有挑战性。在扫描过程中限制头部的移动并不能完全消除运动,并且可能会使对象不舒服。可以使用多种技术来检测和测量头部运动,这些技术既可以使用PET数据本身,也可以使用外部跟踪系统。如果将视频游戏行业重新用于医疗应用,则计算机视觉的进步可能会带来巨大的好处。描述了使用Microsoft Kinect v2测量刚体头部运动的方法,并提供了结果。 0.5毫米的空间精度。使用KinectFusion算法以30 Hz的频率实时测量运动数据。使用KinectFusion算法的残余对齐能量数据检测非刚性运动,从而可以丢弃不可靠的运动。使用注入到PET / CT机架中的脉冲序列将运动数据与PET列表模式数据对齐,从而可以校正刚体运动。显示了来自临床动态PET / CT检查的试验数据。

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