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Improvements in intrinsic feature pose measurement for awake animal imaging

机译:改进了用于清醒动物成像的内在特征姿势测量

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Development has continued with intrinsic feature optical motion tracking for awake animal imaging to measure 3D position and orientation (pose) for motion compensated reconstruction. Prior imaging results have been directed towards head motion measurement for SPECT brain studies in awake unrestrained mice. This work improves on those results in extracting and tracking intrinsic features from multiple camera images and computing pose changes from the tracked features over time. Previously, most motion tracking for 3D imaging has been limited to measuring extrinsic features such as retro-reflective markers applied to an animal's head. While this approach has been proven to be accurate, the use of external markers is undesirable for several reasons. The intrinsic feature approach has been further developed from previous work to provide full pose measurements for a live mouse scan. Surface feature extraction, matching, and pose change calculation with point tracking and accuracy results are described. Experimental pose calculation and 3D reconstruction results from live images are presented.
机译:继续开发具有内在特征的光学运动跟踪技术以进行清醒的动物成像,以测量3D位置和方向(姿势)以进行运动补偿的重建。先前的成像结果已经针对在清醒的,不受约束的小鼠中进行SPECT脑研究的头部运动测量。这项工作改进了从多个相机图像中提取和跟踪固有特征以及随着时间的推移从跟踪的特征计算姿势变化的那些结果。以前,大多数用于3D成像的运动跟踪仅限于测量外部特征,例如应用于动物头部的回射标记。尽管已证明该方法是准确的,但出于多种原因,不希望使用外部标记。从以前的工作中进一步开发了固有特征方法,以提供实时鼠标扫描的完整姿势测量。描述了具有点跟踪和精度结果的表面特征提取,匹配和姿态变化计算。提出了实验姿势计算和实时图像的3D重建结果。

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