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    System and method to compute a pixel sensitivity map of an imaging device
    32.
    发明授权
    System and method to compute a pixel sensitivity map of an imaging device 有权

    公开(公告)号：US11850448B2

    公开(公告)日：2023-12-26

    申请号：US18065727

    申请日：2022-12-14

    Applicant: UNIVERSITY OF VIRGINIA PATENT FOUNDATION

    Inventor： Jeffrey Vincent Siebers ,  Mahmoud Ahmed

    IPC: A61N5/10

    CPC classification number: A61N5/1075 ,  A61N2005/1054 ,  G06T2207/10116

    Abstract: An image calibration method includes capturing and correcting a flood field image for background signal and effects of known image-panel features (dead/bad pixels). The corrected image is processed to separate frequencies characteristic of relative pixel sensitivities from frequencies characteristic of radiation energy fluence. The incident energy fluence has a known maximum in-field energy fluence gradient. A model that describes the incident energy fluence on a detector is generated or received. The corrected image may be modeled at frequencies at or below the maximum in-field energy fluence gradient. A pixel sensitivity matrix (PSM) is generated by adjusting the corrected image with the model of the incident energy fluence on the detector. For example, the corrected image signal may be divided by the model or the model may be subtracted from the corrected image. The PSM may be used to correct additional raw images captured by the detector.

    Motion compensation for MRI imaging
    34.
    发明授权
    Motion compensation for MRI imaging 有权

    公开(公告)号：US11846692B2

    公开(公告)日：2023-12-19

    申请号：US17733967

    申请日：2022-04-29

    Applicant: University of Virginia Patent Foundation

    Inventor： Quan Dou ,  Zhixing Wang ,  Xue Feng ,  John P. Mugler, III ,  Craig H. Meyer

    IPC: G01R33/56 ,  G01R33/565 ,  G06T7/262

    CPC classification number: G01R33/5608 ,  G01R33/56509 ,  G06T7/262 ,  G06T2207/10088 ,  G06T2207/20084

    Abstract: Training a neural network to correct motion-induced artifacts in magnetic resonance images includes acquiring motion-free magnetic resonance image (MRI) data of a target object and applying a spatial transformation matrix to the motion-free MRI data. Multiple frames of MRI data are produced having respective motion states. A Non-uniform Fast Fourier Transform (NUFFT) can be applied to generate respective k-space data sets corresponding to each of the multiple frames of MRI; the respective k-space data sets can be combined to produce a motion-corrupted k-space data set and an adjoint NUFFT can be applied to the motion-corrupted k-space data set. Updated frames of motion-corrupted MRI data can be formed. Using the updated frames of motion corrupted MRI data, a neural network can be trained that generates output frames of motion free MRI data; and the neural network can be saved.

    SYSTEM AND METHOD TO COMPUTE A PIXEL SENSITIVITY MAP OF AN IMAGING DEVICE
    35.
    发明公开
    SYSTEM AND METHOD TO COMPUTE A PIXEL SENSITIVITY MAP OF AN IMAGING DEVICE 审中-公开

    公开(公告)号：US20230390586A1

    公开(公告)日：2023-12-07

    申请号：US18453788

    申请日：2023-08-22

    Applicant: UNIVERSITY OF VIRGINIA PATENT FOUNDATION

    Inventor： Jeffrey Vincent Siebers ,  Mahmoud Ahmed

    IPC: A61N5/10

    CPC classification number: A61N5/1075 ,  G06T2207/10116 ,  A61N2005/1054

    Abstract: An image calibration method includes capturing and correcting a flood field image for background signal and effects of known image-panel features (dead/bad pixels). The corrected image is processed to separate frequencies characteristic of relative pixel sensitivities from frequencies characteristic of radiation energy fluence. The incident energy fluence has a known maximum in-field energy fluence gradient. A model that describes the incident energy fluence on a detector is generated or received. The corrected image may be modeled at frequencies at or below the maximum in-field energy fluence gradient. A pixel sensitivity matrix (PSM) is generated by adjusting the corrected image with the model of the incident energy fluence on the detector. For example, the corrected image signal may be divided by the model or the model may be subtracted from the corrected image. The PSM may be used to correct additional raw images captured by the detector.

    Hand-held portable fundus camera for screening photography
    36.
    发明授权
    Hand-held portable fundus camera for screening photography 有权

    公开(公告)号：US11813024B2

    公开(公告)日：2023-11-14

    申请号：US17302123

    申请日：2021-04-23

    Applicant: University of Virginia Patent Foundation

    Inventor： Paul Andrew Yates ,  Kenneth Tran

    IPC: A61B3/12 ,  A61B3/15 ,  A61B3/14 ,  G06V40/19

    CPC classification number: A61B3/156 ,  A61B3/12 ,  A61B3/1208 ,  A61B3/14 ,  G06V40/19

    Abstract: System and Method pertaining to the modification and integration of an existing consumer digital camera, for example, with an optical imaging module to enable point and shoot fundus photography of the eye. The auto-focus macro capability of existing consumer cameras is adapted to photograph the retina over an extended diopter range, eliminating the need for manual diopter focus adjustment. The thru-the-lens (TTL) auto-exposure flash capability of existing consumer cameras is adapted to photograph the retina with automatic flash exposure eliminating the need for manual flash adjustment. The consumer camera imaging sensor and flash are modified to allow the camera sensor to perform both non-mydriatic focusing of the retina using infrared illumination and standard color flash photography of the retina without the need for additional imaging sensors or mechanical filters. These modifications and integration of existing consumer cameras for fundus photography of the eye significantly improve ease of manufacture and usability.

    MEMORY DEVICES INCLUDING PROCESSING-IN-MEMORY ARCHITECTURE CONFIGURED TO PROVIDE ACCUMULATION DISPATCHING AND HYBRID PARTITIONING
    38.
    发明公开
    MEMORY DEVICES INCLUDING PROCESSING-IN-MEMORY ARCHITECTURE CONFIGURED TO PROVIDE ACCUMULATION DISPATCHING AND HYBRID PARTITIONING 审中-公开

    公开(公告)号：US20230343373A1

    公开(公告)日：2023-10-26

    申请号：US18306531

    申请日：2023-04-25

    Applicant: UNIVERSITY OF VIRGINIA PATENT FOUNDATION

    Inventor： KEVIN SKADRON ,  MARZIEH LENJANI

    IPC: G11C7/10 ,  G06F17/16

    CPC classification number: G11C7/1039 ,  G11C7/1057 ,  G06F17/16

    Abstract: An integrated circuit memory device can include a plurality of banks of memory, each of the banks of memory including a first pair of sub-arrays comprising first and second sub-arrays, the first pair of sub-arrays configured to store data in memory cells of the first pair of sub-arrays, a first row buffer memory circuit located in the integrated circuit memory device adjacent to the first pair of sub-arrays and configured to store first row data received from the first pair of sub-arrays and configured to transfer the row data into and/or out of the first row buffer memory circuit, and a first sub-array level processor circuit in the integrated circuit memory device adjacent to the first pair of sub-arrays and operatively coupled to the first row data, wherein the first sub-array level processor circuit is configured to perform column oriented processing a sparse matrix kernel stored, at least in-part, in the first pair of sub-arrays, with input vector values stored, at least in part, in the first pair of sub-arrays to provide output vector values representing products of values stored in columns of the sparse matrix kernel with the input vector values.

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