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公开(公告)号：US11694339B2
公开(公告)日：2023-07-04
申请号：US15971275
申请日：2018-05-04
Applicant: Pie Medical Imaging B.V.
Inventor： Ron Schormans , Jean-Paul Aben , Dennis Koehn
CPC classification number: G06T7/20 , A61B5/318 , A61B6/481 , A61B6/487 , A61B6/504 , A61B6/507 , A61B6/5217 , A61B6/541 , G06T7/0016 , G06T7/579 , A61B6/4441 , G06T2207/10016 , G06T2207/10116 , G06T2207/30104 , G06T2207/30172
Abstract: A method for quantitative flow analysis of a fluid flowing in a conduit from a sequence of consecutive image frames of such a conduit, where such image frames are timely separated by a certain time interval, the method comprising:
a) selecting a start image frame and an end image frame from the sequence either automatically or upon user input;
b) determining a centerline of the conduit in the start image frame;
c) determining a centerline of the conduit in the end image frame;
d) selecting a common start point on the centerline of the start image frame and on the centerline of the end image frame either automatically or upon user input;
e) selecting an end point on the centerline of the start image frame;
f) selecting an end point on the centerline of the end image frame;
g) calculating centerline distance between the start point and the end point of the start image frame;
h) calculating centerline distance between the start point and the end point of the end image frame; and
i) calculating a local flow velocity as a function of the centerline distances of g) and h) and a time interval between the start image frame and the end image frame.
A corresponding imaging device and computer program are also disclosed.-
公开(公告)号：US20230190218A1
公开(公告)日：2023-06-22
申请号：US17645232
申请日：2021-12-20
Applicant: GE Precision Healthcare LLC
Inventor： Yves Trousset , Thomas Benseghir , Raphael Doustaly
CPC classification number: A61B6/545 , A61B6/032 , A61B6/504 , A61B6/547 , A61B6/4085 , A61B6/4441
Abstract: Various methods and systems are provided for medical imaging. In one embodiment, a method for a C-arm imaging system, comprises during an interventional procedure involving a medical device inserted within a segment of interest (SOI), angulating a C-arm of the C-arm imaging device based on a geometry of the SOI and a location of an extremity of the medical device.
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公开(公告)号：US11678853B2
公开(公告)日：2023-06-20
申请号：US17249651
申请日：2021-03-09
Applicant: Siemens Healthcare GmbH
Inventor： Mehmet Akif Gulsun , Diana Ioana Stoian , Puneet Sharma , Max Schöbinger , Vivek Singh
CPC classification number: A61B6/5217 , A61B6/504 , G06F18/2431 , G06N20/00 , G06T7/0012 , G06T7/11 , G06T11/00 , G06V10/40 , G16H30/20 , G06T2207/20081 , G06T2207/30101
Abstract: Systems and methods for automated assessment of a vessel are provided. One or more input medical images of a vessel of a patient are received. A plurality of vessel assessment tasks for assessing the vessel is performed using a machine learning based model trained using multi-task learning. The plurality of vessel assessment tasks are performed by the machine learning based model based on shared features extracted from the one or more input medical images. Results of the plurality of vessel assessment tasks or a combination of the results of the plurality of vessel assessment tasks are output.
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公开(公告)号：US11672497B2
公开(公告)日：2023-06-13
申请号：US18148347
申请日：2022-12-29
Applicant: CLEERLY, INC.
Inventor： James K. Min , James P. Earls , Hugo Miguel Rodrigues Marques
IPC: G06K9/00 , A61B6/00 , G06T7/00 , A61B5/055 , A61B6/03 , A61B8/14 , A61B8/12 , A61B5/00 , A61K49/04 , G06F18/10 , G06V10/74 , G06V10/764 , G06V10/82 , G06V10/20 , G06V10/24
CPC classification number: A61B6/504 , A61B5/0066 , A61B5/0075 , A61B5/055 , A61B5/7267 , A61B5/742 , A61B5/7475 , A61B6/032 , A61B6/037 , A61B6/481 , A61B6/5205 , A61B8/12 , A61B8/14 , A61K49/04 , G06F18/10 , G06T7/0012 , G06V10/20 , G06V10/245 , G06V10/761 , G06V10/764 , G06V10/82 , G06T2207/10081 , G06T2207/10088 , G06T2207/10101 , G06T2207/10132 , G06T2207/20081 , G06T2207/30048 , G06T2207/30101 , G06V10/247
Abstract: The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.
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公开(公告)号：US11666236B2
公开(公告)日：2023-06-06
申请号：US17391943
申请日：2021-08-02
Applicant: CathWorks Ltd.
IPC: G16H50/50 , A61B5/026 , A61B6/03 , A61B5/02 , A61B5/107 , A61B5/0215 , A61B5/00 , A61B6/00 , A61B8/00 , G16H30/40 , A61B34/10 , A61B5/0205 , A61B8/06 , A61B8/08 , A61B8/12 , A61B34/00 , A61B5/021 , G16H50/30
CPC classification number: A61B5/026 , A61B5/0035 , A61B5/02 , A61B5/02007 , A61B5/02152 , A61B5/107 , A61B5/489 , A61B6/03 , A61B6/466 , A61B6/507 , A61B8/466 , A61B34/10 , G16H30/40 , G16H50/50 , A61B5/0044 , A61B5/0066 , A61B5/0084 , A61B5/021 , A61B5/0205 , A61B5/02028 , A61B6/032 , A61B6/037 , A61B6/503 , A61B6/504 , A61B6/5217 , A61B8/06 , A61B8/0883 , A61B8/12 , A61B8/5223 , A61B34/25 , A61B2576/02 , G16H50/30
Abstract: Systems and methods are described for the compositing together of model-linked vascular data from a plurality of sources, including at least one 2-D angiography image, for display in a frame of reference of the at least one angiography image. In some embodiments, a linking model comprises a data structure configured to link locations of angiographic images to corresponding elements of non-image vascular parameter data. The linking data structure is traversed to obtain a mapping to the frame of reference of one or more of the angiographic images.
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Patent Agency Ranking
公开(公告)号：US11660143B2
公开(公告)日：2023-05-30
申请号：US17197271
申请日：2021-03-10
Applicant: HeartFlow, Inc.
Inventor： Charles A. Taylor , Hyun Jin Kim , Sophie Khem , Sethuraman Sankaran , David Spain , Nan Xiao
IPC: A61B34/10 , G16H50/50 , A61B5/00 , A61B5/02 , A61B8/06 , G16H50/20 , A61B5/026 , A61B6/00 , A61B8/08 , G16H50/70 , A61B6/03 , A61B8/12
CPC classification number: A61B34/10 , A61B5/0044 , A61B5/02028 , A61B5/0263 , A61B6/032 , A61B6/037 , A61B6/503 , A61B6/504 , A61B6/507 , A61B6/5217 , A61B8/065 , A61B8/12 , A61B8/5223 , G16H50/20 , G16H50/50 , G16H50/70 , A61B5/0035 , A61B5/0042 , A61B5/02007 , A61B5/7275 , A61B8/0883 , A61B8/0891 , A61B2034/105 , A61B2576/023
Abstract: Systems and methods are disclosed for to determining a blood supply and blood demand. One method includes receiving a patient-specific model of vessel geometry of at least a portion of a coronary artery, wherein the model is based on patient-specific image data of at least a portion of a patient's heart having myocardium; determining a coronary blood supply based on the patient-specific model; determining at least a portion of the myocardium corresponding to the coronary artery; determining a myocardial blood demand based on either a mass or a volume of the portion of the myocardium, or based on perfusion imaging of the portion of the myocardium; and determining a relationship between the coronary blood supply and the myocardial blood demand.
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77.发明公开公开(公告)号：US20230148981A1
公开(公告)日：2023-05-18
申请号：US18149021
申请日：2022-12-30
Applicant: CLEERLY, INC.
Inventor： James K. Min , James P. Earls , Hugo Miguel Rodrigues Marques , Ben Hootnick
IPC: A61B6/00 , A61B8/14 , A61B6/03 , A61B5/00 , G06T7/00 , A61B8/12 , A61B5/055 , A61K49/04 , A61B5/02 , G06F18/10 , G06V10/74 , G06V10/764 , G06V10/20 , G06V10/24 , G06V40/14
CPC classification number: A61B6/481 , A61B8/14 , A61B6/037 , A61B6/5205 , A61B5/0066 , A61B6/032 , G06T7/0012 , A61B8/12 , A61B5/7267 , A61B5/7475 , A61B6/504 , A61B5/055 , A61B5/742 , A61B5/0075 , A61K49/04 , A61B5/02007 , A61B6/5217 , G06F18/10 , G06V10/761 , G06V10/764 , G06V10/20 , G06V10/245 , G06V40/14 , G06T2207/10081 , G06T2207/10101 , G06T2207/30101 , G06T2207/30048 , G06T2207/20081 , G06T2207/10088 , G06T2207/10132 , G06V10/247
Abstract: The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.
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78.发明公开公开(公告)号：US20230147995A1
公开(公告)日：2023-05-11
申请号：US18149006
申请日：2022-12-30
Applicant: CLEERLY, INC.
Inventor： James K. Min , James P. Earls , Hugo Miguel Rodrigues Marques , Shant Malkasian , Ben Hootnick
IPC: G06T7/00 , A61B8/14 , A61B6/00 , A61B6/03 , A61B5/00 , A61B8/12 , A61B5/055 , A61K49/04 , G06F18/10
CPC classification number: G06T7/0012 , A61B8/14 , A61B6/481 , A61B6/037 , A61B6/5205 , A61B5/0066 , A61B6/032 , A61B8/12 , A61B5/7267 , A61B5/7475 , A61B6/504 , A61B5/055 , A61B5/742 , A61B5/0075 , A61K49/04 , G06F18/10 , G06T2207/10081 , G06T2207/10101 , G06T2207/30101 , G06T2207/30048 , G06T2207/20081 , G06T2207/10088 , G06T2207/10132
Abstract: The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, perform computational fluid dynamics analysis, facilitate assessment of risk of heart disease and coronary artery disease, enhance drug development, determine a CAD risk factor goal, provide atherosclerosis and vascular morphology characterization, and determine indication of myocardial risk, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.
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79.发明公开公开(公告)号：US20230146953A1
公开(公告)日：2023-05-11
申请号：US17522196
申请日：2021-11-09
Applicant: International Business Machines Corporation
Inventor： Sun Young Park , Dustin Michael Sargent
CPC classification number: G06T7/0012 , G06T7/70 , G06N3/04 , A61B6/504 , A61B6/032 , A61B6/5217 , G06T2207/30196 , G06T2207/20081 , G06T2207/10116 , G06T2207/20084 , G06T2207/10081 , G06T2207/30101
Abstract: A computer system identifies a medical condition in a patient. A trained machine learning image generator is used to generate a set of training images based on three-dimensional patient imaging data, wherein each training image is labeled with a projection angle of the corresponding two-dimensional projection. Using the set of training images, a machine learning image classifier model is trained to identify patient rotation angles in x-ray images. X-ray images are processed with the machine learning image classifier model to identify patient rotation angles. A machine learning medical condition classifier model is trained to identify a medical condition using the labeled x-ray images. The machine learning medical condition classifier model determines an indication of the medical condition in a patient's x-ray image. Embodiments of the present invention further include a method and program product for identifying a medical condition in a patient in substantially the same manner described above.
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80.发明公开公开(公告)号：US20230142747A1
公开(公告)日：2023-05-11
申请号：US18148345
申请日：2022-12-29
Applicant: CLEERLY, INC.
Inventor： James K. MIN , James P. EARLS , Hugo Miguel RODRIGUES MARQUES
IPC: A61B6/00 , G06T7/00 , A61B5/055 , A61B6/03 , A61B8/14 , A61B8/12 , A61B5/00 , A61K49/04 , G06F18/10 , G06V10/74 , G06V10/764 , G06V10/82 , G06V10/20 , G06V10/24
CPC classification number: A61B6/504 , G06T7/0012 , A61B5/055 , A61B6/032 , A61B6/037 , A61B8/14 , A61B8/12 , A61B5/0075 , A61B6/481 , A61B6/5205 , A61B5/0066 , A61B5/742 , A61B5/7475 , A61K49/04 , A61B5/7267 , G06F18/10 , G06V10/761 , G06V10/764 , G06V10/82 , G06V10/20 , G06V10/245 , G06T2207/30048 , G06T2207/10081 , G06T2207/10088 , G06T2207/10101 , G06T2207/10132 , G06T2207/20081 , G06T2207/30101 , G06V10/247
Abstract: The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.
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