Quality indicators for collection of and automated measurement on ultrasound images

    公开(公告)号:US10706520B2

    公开(公告)日:2020-07-07

    申请号:US16405996

    申请日:2019-05-07

    Abstract: Aspects of the technology described herein relate to techniques for calculating, during imaging, a quality of a sequence of images collected during the imaging. Calculating the quality of the sequence of images may include calculating a probability that a medical professional would use a given image for clinical evaluation and a confidence that an automated analysis segmentation performed on the given image is correct. Techniques described herein also include receiving a trigger to perform an automatic measurement on a sequence of images, calculating a quality of the sequence of images, determining whether the quality of the sequence of images exceeds a threshold quality, and performing the automatic measurement on the sequence of images based on determining that the quality of the sequence of images exceeds the threshold quality.

    QUALITY INDICATORS FOR COLLECTION OF AND AUTOMATED MEASUREMENT ON ULTRASOUND IMAGES

    公开(公告)号:US20190266716A1

    公开(公告)日:2019-08-29

    申请号:US16405996

    申请日:2019-05-07

    Abstract: Aspects of the technology described herein relate to techniques for calculating, during imaging, a quality of a sequence of images collected during the imaging. Calculating the quality of the sequence of images may include calculating a probability that a medical professional would use a given image for clinical evaluation and a confidence that an automated analysis segmentation performed on the given image is correct. Techniques described herein also include receiving a trigger to perform an automatic measurement on a sequence of images, calculating a quality of the sequence of images, determining whether the quality of the sequence of images exceeds a threshold quality, and performing the automatic measurement on the sequence of images based on determining that the quality of the sequence of images exceeds the threshold quality.

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