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公开(公告)号：US11875505B2
公开(公告)日：2024-01-16
申请号：US17163132
申请日：2021-01-29
Applicant: GE Precision Healthcare LLC
Inventor： Andrew Gilbert
CPC classification number: G06T7/0012 , G06T7/11 , G06T2207/10132 , G06T2207/20076 , G06T2207/20084 , G06T2207/30048
Abstract: The current disclosure provides methods and systems for increasing an accuracy and/or suitability of an automated measurement of a medical image. In one embodiment, the current disclosure provides for a method comprising: receiving one or more user-selected measurement points for an automated measurement of an anatomical feature of a medical image from a user; predicting one or more additional measurement points for the automated measurement based on the one or more user-selected measurement points and based on a comparison of the anatomical feature of the medical image with a plurality of images of the anatomical feature via a trained network; and performing the automated measurement of the anatomical feature based at least on the one or more additional measurement points.
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2.发明公开公开(公告)号：US20230218265A1
公开(公告)日：2023-07-13
申请号：US17575141
申请日：2022-01-13
Applicant: GE Precision Healthcare LLC
Inventor： Svein Arne Aase , Andrew Gilbert
CPC classification number: A61B8/12 , A61B8/02 , A61B8/42 , A61B8/466 , A61B8/483 , A61B8/5207 , A61B8/5238 , A61B8/5276
Abstract: A system and method is provided for obtaining ultrasound images of an interior of an object that includes an image processing unit that receives and processes acquired ultrasound scan data to create ultrasound images derived from ultrasound image data, a motion detection system configured to detect a pattern of inactivity time frames within movement cycles of the object and an ultrasound imaging probe operably connected to the image processing unit to acquire the ultrasound scan data for use by the image processing unit to form the ultrasound images. The motion detection system detects a pattern of one or more inactivity time frames within a first cycle of movement of the object, obtains ultrasound volumetric scan data of the object during the inactivity time frame within a second cycle of movement of the object, and calibrates a location of a scan plane of the ultrasound image within the volumetric ultrasound image.
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Patent Agency Ranking
公开(公告)号：US12193873B2
公开(公告)日：2025-01-14
申请号：US17575141
申请日：2022-01-13
Applicant: GE Precision Healthcare LLC
Inventor： Svein Arne Aase , Andrew Gilbert
Abstract: A system and method is provided for obtaining ultrasound images of an interior of an object that includes an image processing unit that receives and processes acquired ultrasound scan data to create ultrasound images derived from ultrasound image data, a motion detection system configured to detect a pattern of inactivity time frames within movement cycles of the object and an ultrasound imaging probe operably connected to the image processing unit to acquire the ultrasound scan data for use by the image processing unit to form the ultrasound images. The motion detection system detects a pattern of one or more inactivity time frames within a first cycle of movement of the object, obtains ultrasound volumetric scan data of the object during the inactivity time frame within a second cycle of movement of the object, and calibrates a location of a scan plane of the ultrasound image within the volumetric ultrasound image.
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公开(公告)号：US20220211342A1
公开(公告)日：2022-07-07
申请号：US17141444
申请日：2021-01-05
Applicant: GE Precision Healthcare LLC
Inventor： Andrew Gilbert , Gunnar Hansen , Svein Arne Aase , Andreas Heimdal
Abstract: An automated measurement system for an ultrasound and/or echocardiographic imaging system enhances reproducibility of measurement results and accommodates form movement in the measurement of the images by combining measurements across multiple cardiac cycles/multiple echocardiogram images. The automated system provides these benefits by initially selecting the cardiac images/cycles for which valid measurements can be obtained within constraints defined by the automated system. With these selected cycles, the automated system then combines the measurements from the selected cycles into a global measurement for the desired parameter or parameters for the combined cycles. This measurement(s) can then be presented to the operator in conjunction with the image or cycle representation for the cycle best approximating the global measurement results, optionally along with the results for the deviation of the combined measurements in the form of display icons representing the deviation from the illustrated cycle image.
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公开(公告)号：US12205293B2
公开(公告)日：2025-01-21
申请号：US17547137
申请日：2021-12-09
Applicant: GE Precision Healthcare LLC
Inventor： Andrew Gilbert
Abstract: Methods and systems are provided for identifying shape-based atypical segmentations. In one example, a method includes receiving a segmentation of a region of interest (ROI) of a medical image, the segmentation output by a segmentation model, calculating a confidence metric of the segmentation that indicates how well a shape of the segmentation can be encoded by an encoding of one or more principal modes of shape variation of a set of previously determined segmentations of the ROI, and responsive to the confidence metric meeting a predetermined condition relative to a threshold, displaying the segmentation, storing the segmentation, and/or using the segmentation in one or more downstream processes; otherwise, prompting a user to perform a manual segmentation.
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公开(公告)号：US20230186477A1
公开(公告)日：2023-06-15
申请号：US17547137
申请日：2021-12-09
Applicant: GE Precision Healthcare LLC
Inventor： Andrew Gilbert
CPC classification number: G06T7/11 , G06T7/337 , G06T7/0012 , G06T2207/10132 , G06T2207/30048 , G06T2207/20081
Abstract: Methods and systems are provided for identifying shape-based atypical segmentations. In one example, a method includes receiving a segmentation of a region of interest (ROI) of a medical image, the segmentation output by a segmentation model, calculating a confidence metric of the segmentation that indicates how well a shape of the segmentation can be encoded by an encoding of one or more principal modes of shape variation of a set of previously determined segmentations of the ROI, and responsive to the confidence metric meeting a predetermined condition relative to a threshold, displaying the segmentation, storing the segmentation, and/or using the segmentation in one or more downstream processes; otherwise, prompting a user to perform a manual segmentation.
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公开(公告)号：US20220245793A1
公开(公告)日：2022-08-04
申请号：US17163132
申请日：2021-01-29
Applicant: GE Precision Healthcare LLC
Inventor： Andrew Gilbert
Abstract: The current disclosure provides methods and systems for increasing an accuracy and/or suitability of an automated measurement of a medical image. In one embodiment, the current disclosure provides for a method comprising: receiving one or more user-selected measurement points for an automated measurement of an anatomical feature of a medical image from a user; predicting one or more additional measurement points for the automated measurement based on the one or more user-selected measurement points and based on a comparison of the anatomical feature of the medical image with a plurality of images of the anatomical feature via a trained network; and performing the automated measurement of the anatomical feature based at least on the one or more additional measurement points.
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