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    Patient identification using dynamic medical images
    3.
    发明授权
    Patient identification using dynamic medical images 有权

    公开(公告)号：US10115037B2

    公开(公告)日：2018-10-30

    申请号：US15076039

    申请日：2016-03-21

    Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.

    Inventor： Satoshi Kasai ,  Taisuke Akahori

    IPC: G06K9/00 ,  G06K9/62 ,  G06T7/00

    Abstract: A patient identification method and related system use dynamic medical images of a patient, such as dynamic chest x-ray images, to generate pulsation and/or perfusion signals and use them for patient identification. A first pulsation and/or perfusion signal acquired from a current patient is compared to a previously stored second pulsation and/or perfusion signal associated with a known patient, to determine whether the current patient is the same as the known patient. At least one of the first and second pulsation and/or perfusion signals is generated from dynamic medical images. In some embodiments, one of the first and second pulsation and/or perfusion signals is pulsation-like signal obtained from electrocardiogram (ECG). When the current patient is determined to be different from the known patient, warning signals can be generated, and further steps can be taken to prevent medical procedures being conducted on the wrong patient.

    METHOD AND SYSTEM FOR CAPTURING IMAGES FOR WOUND ASSESSMENT WITH MOISTURE DETECTION
    4.
    发明申请
    METHOD AND SYSTEM FOR CAPTURING IMAGES FOR WOUND ASSESSMENT WITH MOISTURE DETECTION 审中-公开

    公开(公告)号：US20180192029A1

    公开(公告)日：2018-07-05

    申请号：US15394846

    申请日：2016-12-30

    Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.

    Inventor： Wei Ming ,  Xiaonong Zhan ,  Taisuke Akahori

    IPC: H04N13/02 ,  G06T7/00 ,  G06K9/46 ,  G06K9/62 ,  G06T7/90 ,  G06T7/50 ,  H04N5/235 ,  H04N5/232 ,  A61B5/00

    Abstract: A wound assessment method which can estimate a moisture level of the wound, and related image capture device. The wound area is imaged at least twice where the wound is illuminated under different illumination light intensities. The first image captured using a relatively low illumination light intensity is analyzed to assess the wound, for example measuring its size, color and texture. The second image captures using a relatively high illumination light intensity (e.g. using a flash) is analyzed to estimate the moisture level of the wound. The moisture level estimation method extracts white connected components from the second image, and estimates the moisture level based on the number, sizes, and centroid distribution of the white connected components. A 3D image of the wound may also be captured, e.g. using a structured-light 3D scanner of the image capture device.

    PATIENT IDENTIFICATION USING DYNAMIC MEDICAL IMAGES
    5.
    发明申请
    PATIENT IDENTIFICATION USING DYNAMIC MEDICAL IMAGES 审中-公开

    公开(公告)号：US20170270379A1

    公开(公告)日：2017-09-21

    申请号：US15076039

    申请日：2016-03-21

    Applicant: KONICA MINOLTA LABORATORY U.S.A., INC.

    Inventor： Satoshi Kasai ,  Taisuke Akahori

    IPC: G06K9/00 ,  G06T7/00

    CPC classification number: G06K9/6215 ,  G06K2009/00939 ,  G06K2209/05 ,  G06T7/0014 ,  G06T2207/10116 ,  G06T2207/30048 ,  G06T2207/30061

    Abstract: A patient identification method and related system use dynamic medical images of a patient, such as dynamic chest x-ray images, to generate pulsation and/or perfusion signals and use them for patient identification. A first pulsation and/or perfusion signal acquired from a current patient is compared to a previously stored second pulsation and/or perfusion signal associated with a known patient, to determine whether the current patient is the same as the known patient. At least one of the first and second pulsation and/or perfusion signals is generated from dynamic medical images. In some embodiments, one of the first and second pulsation and/or perfusion signals is pulsation-like signal obtained from electrocardiogram (ECG). When the current patient is determined to be different from the known patient, warning signals can be generated, and further steps can be taken to prevent medical procedures being conducted on the wrong patient.

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