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    • 5. 发明公开
    • MOTION TRACKING SYSTEM FOR REAL TIME ADAPTIVE MOTION COMPENSATION IN BIOMEDICAL IMAGING
    • BEWEGUNGSVERFOLGUNGSSYSTEMFÜRECHTZEIT-适应BEWEGUNGSKOMPENSATION DER DER BIOMEDIZINISCHEN BILDGEBUNG
    • EP2950714A4
    • 2017-08-16
    • EP14745503
    • 2014-01-29
    • KINETICOR INCTHE UNIV OF HAWAIITHE QUEEN'S MEDICAL CENTER
    • YU JEFFREY NERNST THOMAS MICHAEL
    • G01R33/28A61B5/055A61B6/00G01R33/565
    • A61B6/527A61B5/055A61B5/721A61B6/032A61B6/037A61B6/0492G01R33/283G01R33/5608G01R33/56509G06T7/0012G06T7/207G06T7/73G06T2200/04G06T2207/10072G06T2207/30004G06T2211/428
    • The disclosure herein provides methods, systems, and devices for tracking motion of a patient or object of interest during biomedical imaging and for compensating for that motion in the biomedical imaging scanner and/or the resulting images to reduce or eliminate motion artifacts. In an embodiment, a motion tracking system is configured to overlay tracking data over biomedical imaging data in order to display the tracking data along with its associated image data. In an embodiment, a motion tracking system is configured to overlay tracking data over biomedical imaging data in order to display the tracking data along with its associated image data. In an embodiment, one or more detectors are configured to detect images of a patient, and a detector processing interface is configured to analyze the images to estimate motion or movement of the patient and to generate tracking data describing the patient's motion. The detector processing interface is configured to send the tracking data to a scanner controller to enable adjustment of scanning parameters in real-time in response to the patient's motion.
    • 本文的公开内容提供了用于在生物医学成像期间跟踪患者或感兴趣对象的运动并用于补偿生物医学成像扫描仪中的运动和/或所得图像以减少或消除运动伪影的方法,系统和设备。 在一个实施例中,运动跟踪系统被配置为在生物医学成像数据上覆盖跟踪数据以显示跟踪数据及其相关联的图像数据。 在一个实施例中,运动跟踪系统被配置为在生物医学成像数据上覆盖跟踪数据以显示跟踪数据及其相关联的图像数据。 在一个实施例中,一个或多个检测器被配置成检测患者的图像,并且检测器处理接口被配置为分析图像以估计患者的运动或运动并生成描述患者运动的追踪数据。 检测器处理接口被配置为将跟踪数据发送到扫描仪控制器以实现响应于患者的运动而实时调整扫描参数。
    • 6. 发明专利
    • Historical building identification and detection method based on deep learning and high-resolution images
    • AU2021101857A4
    • 2021-06-03
    • AU2021101857
    • 2021-04-12
    • UNIV JIAYINGUNIV OF HAWAII AT MANOA
    • XIONG YONGZHUCHEN QIZHU MINGYONGZHANG YUHUANG KEKUNZHU CHANGBAICHEN ZHIYUN
    • G06T7/11G06N3/02
    • Embodiments of the present application disclose a method, apparatus, device and storage medium for recognizing and detecting historical buildings based on deep learning and high-resolution images, belonging to the field of object recognition technology, the method comprising: acquiring a remotely sensed building picture, dividing the building picture into a number of cell grids; judging four boundary boxes of the cell grids, judging whether the four boundary boxes are building boundary boxes; acquiring a cell building cells in the grid and remove the bounding boxes to obtain the building construct and obtain the predicted feature value of the building construct; based on the pre-trained building category training set, judge whether the predicted feature value of the building in the picture satisfies the predicted feature value threshold of the building classification in the training set; if it does, obtain the category information corresponding to the building classification, determine it as the category of the building in the picture, and complete the recognition. The present application helps to improve the accuracy and robustness when recognizing pictures and facilitates the investigation work of historical buildings. O bti reotl -olete buldn imgs divid sai buildings S IS I Judin th I fou bondn b Sxe s I *h cel grid jugn whte th orbudn boxe ar I buldn bondn boes if thyaennbidn-onigbxsetn them~~~ ~ ~ tS 0, Itewie *f the ar.uligbudigbxs0 etn te o1ugn whthrth -ISvlu f h fou bondn boxe If * h celS gri *s - iftear nonobtinng hecel igre2nigt henn0vle