Patents by Inventor Katelyn Rose Nye
Katelyn Rose Nye has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 11776150Abstract: An x-ray image laterality detection system is provided. The x-ray image laterality detection system includes a detection computing device. The processor of the computing device is programmed to execute a neural network model for analyzing x-ray images, wherein the neural network model is trained with training x-ray images as inputs and observed laterality classes associated with the training x-ray images as outputs. The process is also programmed to receive an unclassified x-ray image, analyze the unclassified x-ray image using the neural network model, and assign a laterality class to the unclassified x-ray image. If the assigned laterality class is not target laterality, the processor is programmed to adjust the unclassified x-ray image to derive a corrected x-ray image having the target laterality and output the corrected x-ray image. If the assigned laterality class is the target laterality, the processor is programmed to output the unclassified x-ray image.Type: GrantFiled: July 26, 2021Date of Patent: October 3, 2023Assignee: GE Precision Healthcare LLCInventors: Khaled Salem Younis, Ravi Soni, Katelyn Rose Nye, Gireesha Chinthamani Rao, John Michael Sabol, Yash N. Shah
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Patent number: 11712208Abstract: Apparatus, systems, and methods to deliver point of care alerts for radiological findings are disclosed. An example imaging apparatus includes an image data store, an image quality checker, and a training learning network. The example image data store is to store image data acquired using the imaging apparatus. The example image quality checker is to evaluate image data from the image data store in comparison to an image quality measure. The example trained learning network is to process the image data to identify a clinical finding in the image data, the identification of a clinical finding to trigger a notification at the imaging apparatus to notify a healthcare practitioner regarding the clinical finding and prompt a responsive action with respect to a patient associated with the image data.Type: GrantFiled: October 5, 2020Date of Patent: August 1, 2023Assignee: General Electric CompanyInventors: Katelyn Rose Nye, Gireesha Rao
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Patent number: 11682135Abstract: An x-ray image orientation detection and correction system including a detection and correction computing device is provided. The processor of the computing device is programmed to execute a neural network model that is trained with training x-ray images as inputs and observed x-ray images as outputs. The observed x-ray images are the training x-ray images adjusted to have a reference orientation. The processor is further programmed to receive an unclassified x-ray image, analyze the unclassified x-ray image using the neural network model, and assign an orientation class to the unclassified x-ray image. If the assigned orientation class is not the reference orientation, the processor is programmed to adjust an orientation of the unclassified x-ray image using the neural network model, and output a corrected x-ray image. If the assigned orientation class is the reference orientation, the processor is programmed to output the unclassified x-ray image.Type: GrantFiled: November 29, 2019Date of Patent: June 20, 2023Assignee: GE PRECISION HEALTHCARE LLCInventors: Khaled Salem Younis, Katelyn Rose Nye, Gireesha Chinthamani Rao, German Guillermo Vera Gonzalez, Gopal B. Avinash, Ravi Soni, Teri Lynn Fischer, John Michael Sabol
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Patent number: 11651857Abstract: Apparatus, systems, and methods to capture and combine patient vitals and image data are disclosed. An example apparatus includes an imaging device to capture imaging data of a patient; a patient monitor to capture non-imaging data of the patient; and a communication interface between the imaging device and the patient monitor to route the non-imaging data to the imaging device. The example imaging device is to combine the non-imaging data with the imaging data to form a combined data set to be processed to determine a clinical outcome.Type: GrantFiled: July 6, 2020Date of Patent: May 16, 2023Assignee: General Electric CompanyInventors: Katelyn Rose Nye, Gireesha Rao
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Publication number: 20220398718Abstract: The current disclosure provides methods and systems for rapidly and consistently determining medical image quality metrics following acquisition of a diagnostic medical image. In one embodiment, the current disclosure teaches a method for determining an image quality metric by, acquiring a medical image of an anatomical region, mapping the medical image to a positional attribute of an anatomical feature using a trained deep neural network, determining an image quality metric based on the positional attribute of the anatomical feature, determining if the image quality metric satisfies an image quality criterion, and displaying the medical image, the image quality metric, and a status of the image quality criterion via a display device. In this way, a diagnostic scanning procedure may be expedited by providing technicians with real-time insight into quantitative image quality metrics.Type: ApplicationFiled: June 11, 2021Publication date: December 15, 2022Inventors: Gireesha Chinthamani Rao, Alec Joseph Baenen, Katelyn Rose Nye, Prabhu Rajasekaran, Scott Schubert, Raghu Prasad, Keval Harishabhai Jagatiya, Aishwarya Seth, Eric Hart, Adam Pluim
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Publication number: 20220331556Abstract: An image processing system 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 tube or line disposed within the region of interest, detecting the medical tube or line within the image, generating a combined image by superimposing a first graphical marker on the image that indicates an end of the medical tube or line, and displaying the combined image on the display.Type: ApplicationFiled: June 29, 2022Publication date: October 20, 2022Inventors: Alec Joseph Baenen, Pal Tegzes, Levente Torok, Teri Lynn Fischer, Katelyn Rose Nye, Gireesha Chinthamani Rao
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Publication number: 20220284579Abstract: Apparatus, systems, and methods to improve imaging quality control, image processing, identification of findings, and generation of notification at or near a point of care are disclosed and described. An example imaging apparatus includes a processor to at least: process the first image data using a trained learning network to generate a first analysis of the first image data; identify a clinical finding in the first image data based on the first analysis; compare the first analysis to a second analysis, the second analysis generated from second image data obtained in a second image acquisition; and, when comparing identifies a change between the first analysis and the second analysis, generate a notification at the imaging apparatus regarding the clinical finding to trigger a responsive action.Type: ApplicationFiled: May 23, 2022Publication date: September 8, 2022Inventors: Katelyn Rose Nye, Gireesha Rao, Gopal Avinash, Ravi Soni
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Patent number: 11410341Abstract: An image processing system 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 tube or line disposed within the region of interest, detecting the medical tube or line within the image, generating a combined image by superimposing a first graphical marker on the image that indicates an end of the medical tube or line, and displaying the combined image on the display.Type: GrantFiled: November 20, 2020Date of Patent: August 9, 2022Assignee: GE PRECISION HEALTHCARE LLCInventors: Alec Joseph Baenen, Pal Tegzes, Levente Torok, Teri Lynn Fischer, Katelyn Rose Nye, Gireesha Chinthamani Rao
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Publication number: 20220164996Abstract: An image processing system 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 tube or line disposed within the region of interest, detecting the medical tube or line within the image, generating a combined image by superimposing a first graphical marker on the image that indicates an end of the medical tube or line, and displaying the combined image on the display.Type: ApplicationFiled: November 20, 2020Publication date: May 26, 2022Inventors: Alec Joseph Baenen, Pal Tegzes, Levente Torok, Teri Lynn Fischer, Katelyn Rose Nye, Gireesha Chinthamani Rao
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Patent number: 11341646Abstract: Apparatus, systems, and methods to improve imaging quality control, image processing, identification of findings, and generation of notification at or near a point of care are disclosed and described. An example imaging apparatus includes a processor to at least: process the first image data using a trained learning network to generate a first analysis of the first image data; identify a clinical finding in the first image data based on the first analysis; compare the first analysis to a second analysis, the second analysis generated from second image data obtained in a second image acquisition; and, when comparing identifies a change between the first analysis and the second analysis, generate a notification at the imaging apparatus regarding the clinical finding to trigger a responsive action.Type: GrantFiled: August 12, 2020Date of Patent: May 24, 2022Assignee: General Electric CompanyInventors: Katelyn Rose Nye, Gireesha Rao
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Publication number: 20210350186Abstract: An x-ray image laterality detection system is provided. The x-ray image laterality detection system includes a detection computing device. The processor of the computing device is programmed to execute a neural network model for analyzing x-ray images, wherein the neural network model is trained with training x-ray images as inputs and observed laterality classes associated with the training x-ray images as outputs. The process is also programmed to receive an unclassified x-ray image, analyze the unclassified x-ray image using the neural network model, and assign a laterality class to the unclassified x-ray image. If the assigned laterality class is not target laterality, the processor is programmed to adjust the unclassified x-ray image to derive a corrected x-ray image having the target laterality and output the corrected x-ray image. If the assigned laterality class is the target laterality, the processor is programmed to output the unclassified x-ray image.Type: ApplicationFiled: July 26, 2021Publication date: November 11, 2021Inventors: Khaled Salem Younis, Ravi Soni, Katelyn Rose Nye, Gireesha Chinthamani Rao, John Michael Sabol, Yash N. Shah
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Patent number: 11113577Abstract: An x-ray image laterality detection system is provided. The x-ray image laterality detection system includes a detection computing device. The processor of the computing device is programmed to execute a neural network model for analyzing x-ray images, wherein the neural network model is trained with training x-ray images as inputs and observed laterality classes associated with the training x-ray images as outputs. The process is also programmed to receive an unclassified x-ray image, analyze the unclassified x-ray image using the neural network model, and assign a laterality class to the unclassified x-ray image. If the assigned laterality class is not target laterality, the processor is programmed to adjust the unclassified x-ray image to derive a corrected x-ray image having the target laterality and output the corrected x-ray image. If the assigned laterality class is the target laterality, the processor is programmed to output the unclassified x-ray image.Type: GrantFiled: February 27, 2020Date of Patent: September 7, 2021Assignee: GE PRECISION HEALTHCARE LLCInventors: Khaled Salem Younis, Ravi Soni, Katelyn Rose Nye, Gireesha Chinthamani Rao, John Michael Sabol, Yash N. Shah
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Publication number: 20210271931Abstract: An x-ray image laterality detection system is provided. The x-ray image laterality detection system includes a detection computing device. The processor of the computing device is programmed to execute a neural network model for analyzing x-ray images, wherein the neural network model is trained with training x-ray images as inputs and observed laterality classes associated with the training x-ray images as outputs. The process is also programmed to receive an unclassified x-ray image, analyze the unclassified x-ray image using the neural network model, and assign a laterality class to the unclassified x-ray image. If the assigned laterality class is not target laterality, the processor is programmed to adjust the unclassified x-ray image to derive a corrected x-ray image having the target laterality and output the corrected x-ray image. If the assigned laterality class is the target laterality, the processor is programmed to output the unclassified x-ray image.Type: ApplicationFiled: February 27, 2020Publication date: September 2, 2021Inventors: KHALED SALEM YOUNIS, Ravi Soni, Katelyn Rose Nye, Gireesha Chinthamani Rao, John Michael Sabol, Yash N. Shah
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Patent number: 11049250Abstract: Apparatus, systems, and methods to improve imaging quality control, image processing, identification of findings in image data, and generation of notification at or near a point of care for a patient are disclosed and described. An example imaging apparatus includes a memory including chest image data and instructions and a processor. The example processor is to execute the instructions to at least: process the chest image data using a trained learning network in real time after acquisition of the chest image data to identify a pneumothorax in the chest image data; receive feedback regarding the identification of the pneumothorax; and, when the feedback confirms the identification of the pneumothorax, trigger a notification at the imaging apparatus to notify a healthcare practitioner regarding the pneumothorax and prompt a responsive action with respect to a patient associated with the chest image data.Type: GrantFiled: November 20, 2018Date of Patent: June 29, 2021Assignee: General Electric CompanyInventors: Katelyn Rose Nye, Gireesha Rao
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Publication number: 20210183055Abstract: Various methods and systems are provided for analyzing medical images. In one example, a method includes determining a plurality of image quality metrics of a medical image of a subject, each image quality metric determined based on output from a respective image quality model, determining, based on the plurality of image quality metrics, whether the medical image should be rejected, and upon determining the medical image should be rejected, outputting a notification recommending the medical image be rejected.Type: ApplicationFiled: December 13, 2019Publication date: June 17, 2021Inventors: Gireesha Chinthamani Rao, Brijesh Chenan Veettil, Katelyn Rose Nye, Mohamed Ali Hamadeh, Christopher Scotto DiVetta
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Publication number: 20210166351Abstract: An x-ray image orientation detection and correction system including a detection and correction computing device is provided. The processor of the computing device is programmed to execute a neural network model that is trained with training x-ray images as inputs and observed x-ray images as outputs. The observed x-ray images are the training x-ray images adjusted to have a reference orientation. The processor is further programmed to receive an unclassified x-ray image, analyze the unclassified x-ray image using the neural network model, and assign an orientation class to the unclassified x-ray image. If the assigned orientation class is not the reference orientation, the processor is programmed to adjust an orientation of the unclassified x-ray image using the neural network model, and output a corrected x-ray image. If the assigned orientation class is the reference orientation, the processor is programmed to output the unclassified x-ray image.Type: ApplicationFiled: November 29, 2019Publication date: June 3, 2021Inventors: Khaled Salem Younis, Katelyn Rose Nye, Gireesha Chinthamani Rao, German Guillermo Vera Gonzalez, Gopal B. Avinash, Ravi Soni, Teri Lynn Fischer, John Michael Sabol
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Patent number: 10918346Abstract: The present approach relates to the use of augmented or enhanced reality to facilitate positioning of one or more of a patient, X-ray source, or detector during an image acquisition. In certain implementations, sensors and/or cameras provide quantitative information about the position of system components and the patient, which may be used to generate a positioning signal (positioning image audio or textual positioning instructions) based upon reference to a prior patient image.Type: GrantFiled: November 25, 2019Date of Patent: February 16, 2021Assignee: General Electric CompanyInventors: Katelyn Rose Nye, John Eric Tkaczyk, Srikrishnan Viswanathan, Manu Ramesh, Nasir Ahmed Desai, Gireesha Chinthamani Rao
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Publication number: 20210015433Abstract: Apparatus, systems, and methods to deliver point of care alerts for radiological findings are disclosed. An example imaging apparatus includes an image data store, an image quality checker, and a training learning network. The example image data store is to store image data acquired using the imaging apparatus. The example image quality checker is to evaluate image data from the image data store in comparison to an image quality measure. The example trained learning network is to process the image data to identify a clinical finding in the image data, the identification of a clinical finding to trigger a notification at the imaging apparatus to notify a healthcare practitioner regarding the clinical finding and prompt a responsive action with respect to a patient associated with the image data.Type: ApplicationFiled: October 5, 2020Publication date: January 21, 2021Inventors: Katelyn Rose Nye, Gireesha Rao
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Publication number: 20200372651Abstract: Apparatus, systems, and methods to improve imaging quality control, image processing, identification of findings, and generation of notification at or near a point of care are disclosed and described. An example imaging apparatus includes a processor to at least: process the first image data using a trained learning network to generate a first analysis of the first image data; identify a clinical finding in the first image data based on the first analysis; compare the first analysis to a second analysis, the second analysis generated from second image data obtained in a second image acquisition; and, when comparing identifies a change between the first analysis and the second analysis, generate a notification at the imaging apparatus regarding the clinical finding to trigger a responsive action.Type: ApplicationFiled: August 12, 2020Publication date: November 26, 2020Inventors: Katelyn Rose Nye, Gireesha Rao
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Patent number: 10835196Abstract: 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.Type: GrantFiled: January 24, 2019Date of Patent: November 17, 2020Assignee: General Electric CompanyInventors: Dejun Wang, Srikrishnan V, Gireesha Rao, Katelyn Rose Nye, Nasir Ahmed Desai, Arun Kumar Chandrashekarappa, Huanzhong Li