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公开(公告)号：US20230165555A1
公开(公告)日：2023-06-01
申请号：US17975878
申请日：2022-10-28
Applicant: GE Precision Healthcare LLC
Inventor： Gireesha Chinthamani Rao , Ravi Soni , Poonam Dalal , Chen Liu , Dibyajyoti Pati , Katelyn Nye
IPC: A61B6/00
CPC classification number: A61B6/52
Abstract: An artificial intelligence (AI) lead marker detection system is employed either as a component of the X-ray imaging system or separately from the X-ray imaging system to scan post-exposure X-ray images to detect and insert various lead markers, to digitize information provided by the type and location of the lead marker, and to employ the marker information in different X-ray system workflow automations. The marker information obtained by the AI lead marker detection system can also provide useful data for use in downstream clinical and quality applications apart from the X-ray system, such as either AI or non-AI analytical applications.
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公开(公告)号：US20210212650A1
公开(公告)日：2021-07-15
申请号：US16742629
申请日：2020-01-14
Applicant: GE Precision Healthcare LLC
Inventor： Dejun Wang , Jingyi Yang , Yaan Ge , Aizhen Zhou , Katelyn Nye , Gireesha Rao , Buer Qi , Najib Akram
Abstract: Various methods and systems are provided for x-ray imaging. In one embodiment, a method for an image pasting examination comprises acquiring, via an optical camera and/or depth camera, image data of a subject, controlling an x-ray source and an x-ray detector according to the image data to acquire a plurality of x-ray images of the subject, and stitching the plurality of x-ray images into a single x-ray image. In this way, optimal exposure techniques may be used for individual acquisitions in an image pasting examination such that the optimal dose is utilized, stitching quality is improved, and registration failures are avoided.
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Patent Agency Ranking
公开(公告)号：US20240296937A1
公开(公告)日：2024-09-05
申请号：US18662869
申请日：2024-05-13
Applicant: GE Precision Healthcare LLC
Inventor： Katelyn Nye , Gopal Avinash , Pal Tegzes , Gireesha Rao
CPC classification number: G16H30/40 , G06F18/217 , G06F18/285 , G06F18/40 , G06N5/02 , G06N20/00 , G06T7/0012 , G16H50/50 , G06T2207/10116 , G06V2201/03
Abstract: Methods and systems are provided for tuning a static model with multiple operating points to adjust model performance without retraining the model or triggering a new regulatory clearance. In one embodiment, a method comprises, responsive to a request to tune a model, obtaining a tuning dataset including a set of medical images, executing the model using the set of medical images as input to generate model tuning output, and determining, for each operating point of a set of operating points, a set of tuning metric values based on the tuning dataset and the model tuning output relative to each operating point. An operating point from the set of operating points may be selected based on each set of tuning metric values and, upon a request to analyze a subsequent medical image, a representation of a finding output from the static model executed at the selected operating point.
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公开(公告)号：US20240164845A1
公开(公告)日：2024-05-23
申请号：US18385448
申请日：2023-10-31
Applicant: GE Precision Healthcare LLC
Inventor： Pál Tegzes , Zita Herczeg , Hongxu Yang , Zoltán Kiss , Balázs P. Cziria , Poonam Dalal , Alec Baenen , Gireesha Rao , Beth Heckel , Pulak Goswami , Dennis Zhou , Gopal Avinash , Lehel Ferenczi , Katelyn Nye , Noah Thompson Orfield , Emma Neal , Sarah Ouadah
CPC classification number: A61B34/20 , A61B6/12 , A61B6/463 , A61B6/54 , G06T7/74 , G06T11/00 , A61B2034/2065 , G06T2207/30012 , G06T2207/30204 , G06T2210/41
Abstract: An image processing system and method is provided. The image processing system includes a display, a processor, and a memory. The memory stores processor-executable code that when executed by the processor causes receiving an image of a region of interest of a patient with a medical catheter, tube or line disposed within the region of interest, detecting the medical tube or line within the image, generating a patient coordinate system relative to an anatomy of the patient within the image, generating a combined image by superimposing a first graphical marker on the image that indicates an end of the medical catheter, tube or line, and a second graphical marker on the image that indicates patient coordinate system, and displaying the combined image on the display. In addition, the system assesses common visualizable complications associated with CVC placement, including but not limited to hydrothorax, pneumothorax, pneumomediastinum and CVC position changes between x-rays taken at different times.
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公开(公告)号：US12014814B2
公开(公告)日：2024-06-18
申请号：US16775180
申请日：2020-01-28
Applicant: GE Precision Healthcare LLC
Inventor： Katelyn Nye , Gopal Avinash , Pal Tegzes , Gireesha Rao
CPC classification number: G16H30/40 , G06F18/217 , G06F18/285 , G06F18/40 , G06N5/02 , G06N20/00 , G06T7/0012 , G16H50/50 , G06T2207/10116 , G06V2201/03
Abstract: Methods and systems are provided for tuning a static model with multiple operating points to adjust model performance without retraining the model or triggering a new regulatory clearance. In one embodiment, a method comprises, responsive to a request to tune a model, obtaining a tuning dataset including a set of medical images, executing the model using the set of medical images as input to generate model tuning output, and determining, for each operating point of a set of operating points, a set of tuning metric values based on the tuning dataset and the model tuning output relative to each operating point. An operating point from the set of operating points may be selected based on each set of tuning metric values and, upon a request to analyze a subsequent medical image, a representation of a finding output from the static model executed at the selected operating point.
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公开(公告)号：US11564651B2
公开(公告)日：2023-01-31
申请号：US16742629
申请日：2020-01-14
Applicant: GE Precision Healthcare LLC
Inventor： Dejun Wang , Jingyi Yang , Yaan Ge , Aizhen Zhou , Katelyn Nye , Gireesha Rao , Buer Qi , Najib Akram
Abstract: Various methods and systems are provided for x-ray imaging. In one embodiment, a method for an image pasting examination comprises acquiring, via an optical camera and/or depth camera, image data of a subject, controlling an x-ray source and an x-ray detector according to the image data to acquire a plurality of x-ray images of the subject, and stitching the plurality of x-ray images into a single x-ray image. In this way, optimal exposure techniques may be used for individual acquisitions in an image pasting examination such that the optimal dose is utilized, stitching quality is improved, and registration failures are avoided.
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公开(公告)号：US20210232967A1
公开(公告)日：2021-07-29
申请号：US16775180
申请日：2020-01-28
Applicant: GE Precision Healthcare LLC
Inventor： Katelyn Nye , Gopal Avinash , Pal Tegzes , Gireesha Rao
Abstract: Methods and systems are provided for tuning a static model with multiple operating points to adjust model performance without retraining the model or triggering a new regulatory clearance. In one embodiment, a method comprises, responsive to a request to tune a model, obtaining a tuning dataset including a set of medical images, executing the model using the set of medical images as input to generate model tuning output, and determining, for each operating point of a set of operating points, a set of tuning metric values based on the tuning dataset and the model tuning output relative to each operating point. An operating point from the set of operating points may be selected based on each set of tuning metric values and, upon a request to analyze a subsequent medical image, a representation of a finding output from the static model executed at the selected operating point.
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