Automated bone segmentation in images

    公开(公告)号:US11449993B2

    公开(公告)日:2022-09-20

    申请号:US16980559

    申请日:2019-03-12

    Applicant: PERSIMIO LTD.

    Abstract: A method for automated segmentation of a bone in an image dataset of a region of a human body, wherein said region comprises at least two adjacent bones, and wherein one of the bones comprises a shaft region and a head region, the method comprising identifying in the image dataset voxels belonging to a contiguous volume comprising both bones based on a density threshold; extracting a subset comprising the head region of the first bone, based on a boundary image slice; and applying a trained machine learning classifier to said subset, to generate a classification of each of voxel as belonging to one of the bones or a none-bone tissue.

    AUTOMATED BONE SEGMENTATION IN IMAGES

    公开(公告)号:US20210004956A1

    公开(公告)日:2021-01-07

    申请号:US16980559

    申请日:2019-03-12

    Applicant: PERSIMIO LTD.

    Abstract: A method for automated segmentation of a bone in an image dataset of a region of a human body, wherein said region comprises at least two adjacent bones, and wherein one of the bones comprises a shaft region and a head region, the method comprising identifying in the image dataset voxels belonging to a contiguous volume comprising both bones based on a density threshold; extracting a subset comprising the head region of the first bone, based on a boundary image slice; and applying a trained machine learning classifier to said subset, to generate a classification of each of voxel as belonging to one of the bones or a none-bone tissue.

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