Patents by Inventor John Axerio-Cilies
John Axerio-Cilies 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: 11915821Abstract: This disclosure relates to a medical image viewer for incorporating multi-user collaboration features, such as in-image commenting and workspace sharing. An example method includes receiving a comment location including image coordinates and comment information associated with the comment from a user device. The comment information includes a text body, identify identity information related to the user, and a comment creation date. The example method further includes determining world coordinates based on the image coordinates, and storing the world coordinates and the comment information as a subset of header attributes of the DICOM image file.Type: GrantFiled: November 19, 2019Date of Patent: February 27, 2024Assignee: ARTERYS INC.Inventors: Fabien Rafael David Beckers, John Axerio-Cilies, Maud Josee Caroline Benaddi, Patrick Ross Corless, Shek Bun Law, Justin Reid, Derek John Scherger, Kendall Wu
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Patent number: 11854703Abstract: Systems and methods for providing a novel framework to simulate the appearance of pathology on patients who otherwise lack that pathology. The systems and methods include a “simulator” that is a generative adversarial network (GAN). Rather than generating images from scratch, the systems and methods discussed herein simulate the addition of diseases-like appearance on existing scans of healthy patients. Focusing on simulating added abnormalities, as opposed to simulating an entire image, significantly reduces the difficulty of training GANs and produces results that more closely resemble actual, unmodified images. In at least some implementations, multiple GANs are used to simulate pathological tissues on scans of healthy patients to artificially increase the amount of available scans with abnormalities to address the issue of data imbalance with rare pathologies.Type: GrantFiled: June 10, 2019Date of Patent: December 26, 2023Assignee: ARTERYS INC.Inventors: Hok Kan Lau, Jesse Lieman-Sifry, Sean Patrick Sall, Berk Dell Norman, Daniel Irving Golden, John Axerio-Cilies, Matthew Joseph Didonato
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Publication number: 20230284924Abstract: An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: error detection and/or correction on MRI data sets (e.g., phase error correction, phase aliasing, signal unwrapping, and/or on other artifacts); segmentation; visualization of flow (e.g., velocity, arterial versus venous flow, shunts) superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. A protected health information (PHI) service is provided which de-identifies medical study data and allows medical providers to control PHI data, and uploads the de-identified data to an analytics service provider (ASP) system. A web application is provided which merges the PHI data with the de-identified data while keeping control of the PHI data with the medical provider.Type: ApplicationFiled: May 19, 2023Publication date: September 14, 2023Inventors: Kyle Dormer, Hussein Patni, Darryl Bidulock, John Axerio-Cilies, Torin Arni Taerum
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Publication number: 20230270346Abstract: An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: error detection and/or correction on MRI data sets (e.g., phase error correction, phase aliasing, signal unwrapping, and/or on other artifacts); segmentation; visualization of flow (e.g., velocity, arterial versus venous flow, shunts) superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. A protected health information (PHI) service is provided which de-identifies medical study data and allows medical providers to control PHI data, and uploads the de-identified data to an analytics service provider (ASP) system. A web application is provided which merges the PHI data with the de-identified data while keeping control of the PHI data with the medical provider.Type: ApplicationFiled: March 13, 2023Publication date: August 31, 2023Inventors: Kyle Dormer, Hussein Patni, Darryl Bidulock, John Axerio-Cilies, Torin Arni Taerum
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Patent number: 11633119Abstract: An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: error detection and/or correction on MRI data sets (e.g., phase error correction, phase aliasing, signal unwrapping, and/or on other artifacts); segmentation; visualization of flow (e.g., velocity, arterial versus venous flow, shunts) superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. A protected health information (PHI) service is provided which de-identifies medical study data and allows medical providers to control PHI data, and uploads the de-identified data to an analytics service provider (ASP) system. A web application is provided which merges the PHI data with the de-identified data while keeping control of the PHI data with the medical provider.Type: GrantFiled: November 19, 2020Date of Patent: April 25, 2023Assignee: ARTERYS INC.Inventors: Kyle Dormer, Hussein Patni, Darryl Bidulock, John Axerio-Cilies, Torin Arni Taerum
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Publication number: 20230106440Abstract: Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are commonly used to assess patients with known or suspected pathologies of the lungs and liver. In particular, identification and quantification of possibly malignant regions identified in these high-resolution images is essential for accurate and timely diagnosis. However, careful quantitative assessment of lung and liver lesions is tedious and time consuming. This disclosure describes an automated end-to-end pipeline for accurate lesion detection and segmentation.Type: ApplicationFiled: December 8, 2022Publication date: April 6, 2023Inventors: Daniel Irving GOLDEN, Fabien Rafael David BECKERS, John AXERIO-CILIES, Matthieu LE, Jesse LIEMAN-SIFRY, Anitha Priya KRISHNAN, Sean Patrick SALL, Hok Kan LAU, Matthew Joseph DIDONATO, Robert George NEWTON, Torin Arni TAERUM, Shek Bun LAW, Carla Rosa LEIBOWITZ, Angélique Sophie CALMON
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Patent number: 11551353Abstract: Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are commonly used to assess patients with known or suspected pathologies of the lungs and liver. In particular, identification and quantification of possibly malignant regions identified in these high-resolution images is essential for accurate and timely diagnosis. However, careful quantitative assessment of lung and liver lesions is tedious and time consuming. This disclosure describes an automated end-to-end pipeline for accurate lesion detection and segmentation.Type: GrantFiled: November 15, 2018Date of Patent: January 10, 2023Assignee: Arterys Inc.Inventors: Daniel Irving Golden, Fabien Rafael David Beckers, John Axerio-Cilies, Matthieu Le, Jesse Lieman-Sifry, Anitha Priya Krishnan, Sean Patrick Sall, Hok Kan Lau, Matthew Joseph Didonato, Robert George Newton, Torin Arni Taerum, Shek Bun Law, Carla Rosa Leibowitz, Angélique Sophie Calmon
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Patent number: 11515032Abstract: An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: error detection and/or correction on MRI data sets (e.g., phase error correction, phase aliasing, signal unwrapping, and/or on other artifacts); segmentation; visualization of flow (e.g., velocity, arterial versus venous flow, shunts) superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. A protected health information (PHI) service is provided which de-identifies medical study data and allows medical providers to control PHI data, and uploads the de-identified data to an analytics service provider (ASP) system. A web application is provided which merges the PHI data with the de-identified data while keeping control of the PHI data with the medical provider.Type: GrantFiled: May 10, 2019Date of Patent: November 29, 2022Assignee: ARTERYS INC.Inventors: Kyle Dormer, Hussein Patni, Darryl Bidulock, John Axerio-Cilies, Torin Arni Taerum
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Publication number: 20220004838Abstract: The presently disclosed technology relates to medical image processing. An example method includes receiving medical image data which represents an anatomical structure and processing the received image data through convolutional neural network (CNN) to generate predictions. The predictions can include abnormality location proposals and abnormality class probabilities associated with each abnormality location proposals.Type: ApplicationFiled: November 18, 2019Publication date: January 6, 2022Inventors: Matthew Joseph DiDonato, Daniel Irving Golden, John Axerio-Cilies, Taryn Nicole Heilman
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Publication number: 20210383914Abstract: This disclosure relates to a medical image viewer for incorporating multi-user collaboration features, such as in-image commenting and workspace sharing. An example method includes receiving a comment location including image coordinates and comment information associated with the comment from a user device. The comment information includes a text body, identify identity information related to the user, and a comment creation date. The example method further includes determining world coordinates based on the image coordinates, and storing the world coordinates and the comment information as a subset of header attributes of the DICOM image file.Type: ApplicationFiled: November 19, 2019Publication date: December 9, 2021Inventors: Fabien Rafael David Beckers, John Axerio-Cilies, Maud Josee Caroline Benaddi, Patrick Ross Corless, Shek Bun Law, Justin Reid, Derek John Scherger, Kendall Wu
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Publication number: 20210249142Abstract: Systems and methods for providing a novel framework to simulate the appearance of pathology on patients who otherwise lack that pathology. The systems and methods include a “simulator” that is a generative adversarial network (GAN). Rather than generating images from scratch, the systems and methods discussed herein simulate the addition of diseases-like appearance on existing scans of healthy patients. Focusing on simulating added abnormalities, as opposed to simulating an entire image, significantly reduces the difficulty of training GANs and produces results that more closely resemble actual, unmodified images. In at least some implementations, multiple GANs are used to simulate pathological tissues on scans of healthy patients to artificially increase the amount of available scans with abnormalities to address the issue of data imbalance with rare pathologies.Type: ApplicationFiled: June 10, 2019Publication date: August 12, 2021Inventors: Hok Kan LAU, Jesse LIEMAN-SIFRY, Sean Patrick SALL, Berk Dell NORMAN, Daniel Irving GOLDEN, John AXERIO-CILIES, Matthew Joseph DIDONATO
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Publication number: 20210085195Abstract: An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: error detection and/or correction on MRI data sets (e.g., phase error correction, phase aliasing, signal unwrapping, and/or on other artifacts); segmentation; visualization of flow (e.g., velocity, arterial versus venous flow, shunts) superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. A protected health information (PHI) service is provided which de-identifies medical study data and allows medical providers to control PHI data, and uploads the de-identified data to an analytics service provider (ASP) system. A web application is provided which merges the PHI data with the de-identified data while keeping control of the PHI data with the medical provider.Type: ApplicationFiled: November 19, 2020Publication date: March 25, 2021Inventors: Kyle Dormer, Hussein Patni, Darryl Bidulock, John Axerio-Cilies, Torin Arni Taerum
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Patent number: 10871536Abstract: Systems and methods for automated segmentation of anatomical structures, such as the human heart. The systems and methods employ convolutional neural networks (CNNs) to autonomously segment various parts of an anatomical structure represented by image data, such as 3D MRI data. The convolutional neural network utilizes two paths, a contracting path which includes convolution/pooling layers, and an expanding path which includes upsampling/convolution layers. The loss function used to validate the CNN model may specifically account for missing data, which allows for use of a larger training set. The CNN model may utilize multi-dimensional kernels (e.g., 2D, 3D, 4D, 6D), and may include various channels which encode spatial data, time data, flow data, etc. The systems and methods of the present disclosure also utilize CNNs to provide automated detection and display of landmarks in images of anatomical structures.Type: GrantFiled: November 29, 2016Date of Patent: December 22, 2020Assignee: ARTERYS INC.Inventors: Daniel Irving Golden, John Axerio-Cilies, Matthieu Le, Torin Arni Taerum, Jesse Lieman-Sifry
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Patent number: 10869608Abstract: An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: error detection and/or correction on MRI data sets (e.g., phase error correction, phase aliasing, signal unwrapping, and/or on other artifacts); segmentation; visualization of flow (e.g., velocity, arterial versus venous flow, shunts) superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. A protected health information (PHI) service is provided which de-identifies medical study data and allows medical providers to control PHI data, and uploads the de-identified data to an analytics service provider (ASP) system. A web application is provided which merges the PHI data with the de-identified data while keeping control of the PHI data with the medical provider.Type: GrantFiled: November 29, 2016Date of Patent: December 22, 2020Assignee: ARTERYS INC.Inventors: Kyle Dormer, Hussein Patni, Darryl Bidulock, John Axerio-Cilies, Torin Arni Taerum
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Publication number: 20200380675Abstract: Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are commonly used to assess patients with known or suspected pathologies of the lungs and liver. In particular, identification and quantification of possibly malignant regions identified in these high-resolution images is essential for accurate and timely diagnosis. However, careful quantitative assessment of lung and liver lesions is tedious and time consuming. This disclosure describes an automated end-to-end pipeline for accurate lesion detection and segmentation.Type: ApplicationFiled: November 15, 2018Publication date: December 3, 2020Inventors: Daniel Irving GOLDEN, Fabien Rafael David BECKERS, John AXERIO-CILIES, Matthieu LE, Jesse LIEMAN-SIFRY, Anitha Priya KRISHNAN, Sean Patrick SALL, Hok Kan LAU, Matthew Joseph DIDONATO, Robert George NEWTON, Torin Arni TAERUM, Shek Bun LAW, Carla Rosa LEIBOWITZ, Angélique Sophie CALMON
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Publication number: 20200085382Abstract: Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) are commonly used to assess patients with known or suspected pathologies of the lungs and liver. In particular, identification and quantification of possibly malignant regions identified in these high-resolution images is essential for accurate and timely diagnosis. However, careful quantitative assessment of lung and liver lesions is tedious and time consuming. This disclosure describes an automated end-to-end pipeline for accurate lesion detection and segmentation.Type: ApplicationFiled: May 30, 2018Publication date: March 19, 2020Inventors: Torin Arni Taerum, Hok Kan Lau, Sean Sall, Matthieu Le, John Axerio-Cilies, Daniel Irving Golden, Jesse Lieman-Sifry, Tristan Jugdev
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Publication number: 20200054235Abstract: An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: perform error detection and/or correction on MRI data sets (e.g., phase error correction, phase aliasing, signal unwrapping, and/or on other artifacts); segmentation; visualization of flow (e.g., velocity, arterial versus venous flow, shunts) superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. An asynchronous command and imaging pipeline allows remote image processing and analysis in a timely and secure manner even with complicated or large 4-D flow MRI data sets.Type: ApplicationFiled: August 27, 2019Publication date: February 20, 2020Inventors: Fabien Beckers, Albert Hsiao, John Axerio-Cilies, Torin Arni Taerum, Daniel Marc Raymond Beauchamp
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Publication number: 20190272898Abstract: An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: error detection and/or correction on MRI data sets (e.g., phase error correction, phase aliasing, signal unwrapping, and/or on other artifacts); segmentation; visualization of flow (e.g., velocity, arterial versus venous flow, shunts) superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. A protected health information (PHI) service is provided which de-identifies medical study data and allows medical providers to control PHI data, and uploads the de-identified data to an analytics service provider (ASP) system. A web application is provided which merges the PHI data with the de-identified data while keeping control of the PHI data with the medical provider.Type: ApplicationFiled: May 10, 2019Publication date: September 5, 2019Inventors: Kyle Dormer, Hussein Patni, Darryl Bidulock, John Axerio-Cilies, Torin Arni Taerum
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Patent number: 10398344Abstract: An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: perform error detection and/or correction on MRI data sets (e.g., phase error correction, phase aliasing, signal unwrapping, and/or on other artifacts); segmentation; visualization of flow (e.g., velocity, arterial versus venous flow, shunts) superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. An asynchronous command and imaging pipeline allows remote image processing and analysis in a timely and secure manner even with complicated or large 4-D flow MRI data sets.Type: GrantFiled: November 5, 2018Date of Patent: September 3, 2019Assignee: Arterys Inc.Inventors: Fabien Beckers, Albert Hsiao, John Axerio-Cilies, Torin Arni Taerum, Daniel Marc Raymond Beauchamp
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Patent number: 10331852Abstract: An MRI image processing and analysis system may identify instances of structure in MRI flow data, e.g., coherency, derive contours and/or clinical markers based on the identified structures. The system may be remotely located from one or more MRI acquisition systems, and perform: error detection and/or correction on MRI data sets (e.g., phase error correction, phase aliasing, signal unwrapping, and/or on other artifacts); segmentation; visualization of flow (e.g., velocity, arterial versus venous flow, shunts) superimposed on anatomical structure, quantification; verification; and/or generation of patient specific 4-D flow protocols. A protected health information (PHI) service is provided which de-identifies medical study data and allows medical providers to control PHI data, and uploads the de-identified data to an analytics service provider (ASP) system. A web application is provided which merges the PHI data with the de-identified data while keeping control of the PHI data with the medical provider.Type: GrantFiled: November 29, 2016Date of Patent: June 25, 2019Assignee: Arterys Inc.Inventors: Kyle Dormer, Hussein Patni, Darryl Bidulock, John Axerio-Cilies, Torin Arni Taerum