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    SYSTEMS AND METHODS FOR EYE TRACKING FOR MOTION CORRECTED OPHTHALMIC OPTICAL COHERENECE TOMOGRAPHY
    1.
    发明申请
    SYSTEMS AND METHODS FOR EYE TRACKING FOR MOTION CORRECTED OPHTHALMIC OPTICAL COHERENECE TOMOGRAPHY 审中-公开
    用于运动矫正眼科光学共振成像的眼睛跟踪的系统和方法

    公开(公告)号：US20160338589A1

    公开(公告)日：2016-11-24

    申请号：US15113800

    申请日：2015-01-30

    申请人： Oscar M. CARRASCO-ZEVALLOS ,  Joseph A. IZATT ,  Christian B. VIEHLAND ,  Ryan MCNABB ,  DUKE UNIVERSITY

    发明人： Oscar M. Carrasco-Zevallos ,  Joseph A. Izatt ,  Christian B. Viehland ,  Ryan McNabb

    IPC分类号： A61B3/15 ,  A61B3/117 ,  A61B3/12 ,  A61B3/10 ,  A61B3/113

    摘要： Systems and methods for eye tracking for motion corrected ophthalmic optical coherence tomography (OCT) are disclosed. According to an aspect, an imaging system includes an eye tracking device configured to determine movement of an eye. The imaging system also includes an OCT apparatus configured to generate OCT images of a retina of the eye. The OCT apparatus includes a scanner operable to be moved for relocating an OCT scan pivot at a pupil plane for image capture and during capture of the OCT images. The imaging system also includes a controller configured to control the scanner to relocate the OCT scan pivot at the pupil plane based on the determined movement of the eye.

    摘要翻译： 公开了用于运动矫正眼用光学相干断层扫描（OCT）的眼睛跟踪的系统和方法。 根据一个方面，成像系统包括被配置为确定眼睛移动的眼睛跟踪装置。 成像系统还包括被配置为产生眼睛视网膜的OCT图像的OCT装置。 OCT设备包括可操作以移动以用于在瞳平面处重新定位OCT扫描枢轴用于图像捕获和在OCT图像的捕获期间的扫描仪。 成像系统还包括控制器，其被配置为基于所确定的眼睛的运动来控制扫描仪在瞳孔平面处重新定位OCT扫描枢轴。

    COMPUTATIONAL IMAGE CONTRAST FROM MULTI-DIMENSIONAL DATA
    3.
    发明公开
    COMPUTATIONAL IMAGE CONTRAST FROM MULTI-DIMENSIONAL DATA 审中-公开

    公开(公告)号：US20240281940A1

    公开(公告)日：2024-08-22

    申请号：US18581157

    申请日：2024-02-19

    申请人： Duke University

    发明人： Kevin Zhou ,  Ryan McNabb ,  Ruobing Qian ,  Al-Hafeez Dhalla ,  Sina Farsiu ,  Joseph Izatt

    IPC分类号： G06T5/90 ,  G06T3/4053 ,  G06T7/30

    CPC分类号： G06T5/90 ,  G06T3/4053 ,  G06T7/30 ,  G06T2207/10101 ,  G06T2207/20084

    摘要： A method of performing computational image contrast from multidimensional data includes receiving a plurality of images of an object, with each image of the plurality of images having more than three dimensions, performing multi-dimensional registration of the plurality of images to generate a multi-dimensional dataspace, reducing dimensionality of the multi-dimensional dataspace to create an enhanced resolution and contrast image of a 3D space of the object using the plurality of images as registered in the multi-dimensional dataspace, and displaying the enhanced resolution and contrast image. In some cases, reducing the dimensionality of the multi-dimensional dataspace to create the enhanced resolution and contrast image of the 3D space of the object comprises utilizing at least one of variance, high-order statistics, entropy, principal component analysis, t-distributed stochastic neighborhood embedding, and neural networks using the plurality of images as registered in the multi-dimensional dataspace.