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21. 发明授权

US10740866B2 Determining appropriate medical image processing pipeline based on machine learning 有权
公开(公告)号：US10740866B2
公开(公告)日：2020-08-11
申请号：US16018486
申请日：2018-06-26
申请人： International Business Machines Corporation
发明人： Amin Katouzian , Anup Pillai , Chaitanya Shivade , Marina Bendersky , Ashutosh Jadhav , Vandana Mukherjee , Ehsan Dehghan Marvast , Tanveer F. Syeda-Mahmood
IPC分类号： G06T1/20 , G06K9/32 , G06T7/00 , G06N20/00
摘要： Mechanisms are provided to implement an automated medical image processing pipeline selection (MIPPS) system. The MIPPS system receives medical image data associated with a patient electronic medical record and analyzes the medical image data to extract evidence data comprising characteristics of one or more medical images in the medical image data indicative of a medical image processing pipeline to select for processing the one or more medical images. The evidence data is provided to a machine learning model of the MIPPS system which selects a medical image processing pipeline based on a machine learning based analysis of the evidence data. The selected medical image processing pipeline processes the medical image data to generate a results output.

22. 发明授权

US10733265B2 Medical image manager with automated synthetic image generator 有权
公开(公告)号：US10733265B2
公开(公告)日：2020-08-04
申请号：US16412628
申请日：2019-05-15
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Ehsan Dehghan Marvast , Tanveer F. Syeda-Mahmood
IPC分类号： G16H30/20 , G16H15/00 , A61B6/00 , G06T11/60 , G06T7/00 , G06F19/00 , G06T7/62 , G16H50/50 , G16H50/20 , A61B6/03
摘要： A method for processing medical images includes analyzing a medical image to detect a medical condition from a list of medical conditions, wherein the list of medical conditions includes aortic dissection, pulmonary embolism, and coronary stenosis. Responsive to determining the medical image includes a first medical condition, the method generates a first report that includes information on a detection of the first medical condition. The method identifies, a medical specialist based on availability and medical expertise and sends to the identified medical specialist, the medical image and the first report for a decision on the detection of the first medical condition. Responsive to receiving the decision from the medical specialist, the method sends to a second electronic device, the decision, the medical image, and the first report.

23. 发明申请

US20200185084A1 Automated Normality Scoring of Echocardiograms 审中-公开
公开(公告)号：US20200185084A1
公开(公告)日：2020-06-11
申请号：US16215799
申请日：2018-12-11
申请人： International Business Machines Corporation
发明人： Tanveer F. Syeda-Mahmood , Mehdi Moradi , Allen Lu , Ehsan Dehghan Marvast
IPC分类号： G16H30/40 , G16H50/20 , G06K9/34 , G06K9/46 , G06K9/62 , A61B8/08
摘要： Mechanisms are provided for evaluating the normality of a medical condition of a patient based on a medical image. A medical image segmentation receives a medical image and segments the medical image to generate an extracted contour representing an anatomical feature. The medical image segmentation engine correlates the extracted contour with a template shape corresponding to the anatomical feature. A feature extraction engine extracts one or more features from a region of the medical image corresponding to the template shape. A normality classification engine performs a normality classification operation on the extracted one or more features to generate a normality score for the medical image and outputs the normality score to a computing device.

24. 发明申请

US20200185083A1 Automatic Summarization of Medical Imaging Studies 审中-公开
公开(公告)号：US20200185083A1
公开(公告)日：2020-06-11
申请号：US16215742
申请日：2018-12-11
申请人： International Business Machines Corporation
发明人： Tanveer F. Syeda-Mahmood , Ehsan Dehghan Marvast , Satyananda Kashyap
IPC分类号： G16H30/40 , G16H15/00 , G06T7/00 , G06K9/62 , G06K9/46 , G06T7/11
摘要： Medical imaging study summary engine mechanisms are provided. The mechanisms receive a medical imaging study having data representing a plurality of medical images of a patient. The mechanisms generate a temporal trajectory data structure of at least a subset of the medical images in the plurality of medical images, wherein the temporal trajectory data structure specifies topological changes in temporally subsequent medical images in the plurality of medical images. The mechanisms select medical image data corresponding to selected medical images from the medical imaging study data structure based on the temporal trajectory data structure. The mechanisms output the selected medical image data via a medical imaging study user interface.

25. 发明授权

US10679345B2 Automatic contour annotation of medical images based on correlations with medical reports 有权
公开(公告)号：US10679345B2
公开(公告)日：2020-06-09
申请号：US15848777
申请日：2017-12-20
申请人： International Business Machines Corporation
发明人： Ali Madani , Mehdi Moradi , Tanveer F. Syeda-Mahmood
IPC分类号： G06K9/00 , G06T7/00 , A61B6/00 , G16H10/40 , G16H10/60 , G06N3/04 , G06N3/08
摘要： Mechanisms are provided to implement a neural network, a concept extractor, and a machine learning model that operate to provide automatic contour annotation of medical images based on correlations with medical reports. The neural network processes a medical image to extract image features of the medical image. The concept extractor processes a portion of text associated with the medical image to extract concepts associated with the portion of text. The machine learning model correlates the extracted image features with the extracted concepts. An annotated medical image is generated based on the correlation of the extracted image features and extracted concepts. An annotation of the annotated medical image specifies a region of interest corresponding to both an extracted image feature and an extracted concept, thereby automatically mapping the portion of text to a relevant region of the medical image.

26. 发明授权

US10588590B2 Detection and characterization of aortic pathologies 有权
公开(公告)号：US10588590B2
公开(公告)日：2020-03-17
申请号：US16404846
申请日：2019-05-07
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Ehsan Dehghan Marvast , Tanveer F. Syeda-Mahmood , Hongzhi Wang
IPC分类号： G06K9/00 , A61B6/00 , A61B6/03 , G06T7/00 , G06T7/62 , G06F16/51 , G06F16/583 , G16H50/20 , G16H30/40 , G06F19/00 , G16H40/20 , G16H30/20
摘要： According to one or more embodiments, a method, a computer program product, and a computer system for detecting and characterizing aortic pathologies are provided. The method may include receiving, by a computer, one or more tomograph scan images corresponding to a patient's aorta. The one or more received tomograph scan images may be analyzed by the computer for one or more image features associated with one or more aortic pathologies, such as aortic dissection or an aortic aneurysm. One or more image features associated with the one or more aortic pathologies may be identified in the one or more analyzed tomograph scan images, which may allow the determination of an aortic pathology associated with the patient's aorta based on the identification of the image features. A portion of the aorta and one or more branch arteries corresponding to the determined aortic pathology may then be identified.

27. 发明申请

US20200020106A1 Template Based Anatomical Segmentation of Medical Images 审中-公开
公开(公告)号：US20200020106A1
公开(公告)日：2020-01-16
申请号：US16031237
申请日：2018-07-10
申请人： International Business Machines Corporation
发明人： Deepika Kakrania , Tanveer F. Syeda-Mahmood , Gopalkrishna Veni , Hongzhi Wang , Rui Zhang
IPC分类号： G06T7/174 , G06T3/00
摘要： A mechanism is provided in a data processing system comprising a processor and a memory, the memory comprising instructions executed by the processor to specifically configure the processor to implement a multi-atlas segmentation engine. An offline registration component performs registration of a plurality of atlases with a set of image templates to thereby generate and store, in a first registration storage device, a plurality of offline registrations. The atlases are annotated training medical images and the image templates are non-annotated medical images. The multi-atlas segmentation engine receives a target image. An image selection component selects a subset of image templates in the set of image templates based on the target image. An online registration component performs registration of the subset of image templates with the target image to generate a plurality of online registrations. The multi-atlas segmentation engine retrieves offline registrations corresponding to the subset of image templates from the first registration storage device. The multi-atlas segmentation engine performs segmentation of the target image based on the retrieved offline registrations corresponding to the subset of image templates and the plurality of online registrations. The segmentation applies labels to anatomical structures present in the target image based on the retrieved offline registrations and the plurality of online registrations to thereby output a modified target image.

28. 发明申请

US20190261880A1 AUTOMATIC EXTRACTION OF DISEASE-SPECIFIC FEATURES FROM DOPPLER IMAGES 审中-公开
公开(公告)号：US20190261880A1
公开(公告)日：2019-08-29
申请号：US16412533
申请日：2019-05-15
申请人： International Business Machines Corporation
发明人： David J. Beymer , Mehdi Moradi , Mohammadreza Negahdar , Nripesh Parajuli , Tanveer F. Syeda-Mahmood
IPC分类号： A61B5/04 , A61B8/08 , A61B5/00 , A61B5/0402
摘要： An automatic extraction of disease-specific features from Doppler images to help diagnose valvular diseases is provided. The method includes the steps of obtaining a raw Doppler image from a series of images of an echocardiogram, isolating a region of interest from the raw Doppler image, the region of interest including a Doppler image and an ECG signal, and depicting at least one heart cycle, determining a velocity envelope of the Doppler image in the region of interest, extracting the ECG signal to synchronize the ECG signal with the Doppler image over the at least one heart cycle, within the region of interest, calculating a value of a clinical feature based on the extracted ECG signal synchronized with the velocity envelope, and comparing the value of the clinical feature with clinical guidelines associated with the clinical feature to determine a diagnosis of a disease.

29. 发明申请

US20190198137A1 Automatic Summarization of Patient Data Using Medically Relevant Summarization Templates 审中-公开
公开(公告)号：US20190198137A1
公开(公告)日：2019-06-27
申请号：US15854136
申请日：2017-12-26
申请人： International Business Machines Corporation
发明人： Tyler Baldwin , Marina Bendersky , Ashutosh Jadhav , Karina Kanjaria , Chaitanya Shivade , Tanveer F. Syeda-Mahmood , Joy Wu
IPC分类号： G16H10/60 , G06Q50/22 , G16H15/00 , G06N5/02
CPC分类号： G16H10/60 , G06N5/02 , G06Q50/22 , G16H15/00
摘要： Mechanisms are provided to implement a medical information summarization engine (MISE). The MISE receives input specifying a summarization template, wherein the summarization template specifies terms or concepts of interest to a medical professional when making a medical decision regarding a patient. The MISE maps the terms or concepts of interest to medical concepts in a medical knowledge base. The MISE processes electronic medical records (EMR) of the patient based on the mapping of the medical concepts in the medical knowledge base to the terms or concepts of interest in the summarization template to extract patient information from the patient EMR that matches at least one of the medical concepts from the mapping. The MIE generates and outputs a holistic summary of the patient's EMRs that summarizes the most salient portions of the patient EMR for use by the medical professional in making the medical decision regarding the patient.

30. 发明申请

US20190105008A1 DETECTION AND CHARACTERIZATION OF AORTIC PATHOLOGIES 审中-公开
公开(公告)号：US20190105008A1
公开(公告)日：2019-04-11
申请号：US15728546
申请日：2017-10-10
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Ehsan Dehghan Marvast , Tanveer F. Syeda-Mahmood , Hongzhi Wang
IPC分类号： A61B6/00 , G06F17/30 , A61B6/03 , G06T7/62 , G06T7/00
CPC分类号： A61B6/5217 , A61B6/03 , A61B6/504 , A61B6/507 , G06F16/51 , G06F16/5838 , G06F19/321 , G06F19/325 , G06T7/0014 , G06T7/62 , G06T2207/10072 , G06T2207/30101 , G06T2207/30204 , G16H50/20
摘要： According to one or more embodiments, a method, a computer program product, and a computer system for detecting and characterizing aortic pathologies are provided. The method may include receiving, by a computer, one or more tomograph scan images corresponding to a patient's aorta. The one or more received tomograph scan images may be analyzed by the computer for one or more image features associated with one or more aortic pathologies, such as aortic dissection or an aortic aneurysm. One or more image features associated with the one or more aortic pathologies may be identified in the one or more analyzed tomograph scan images, which may allow the determination of an aortic pathology associated with the patient's aorta based on the identification of the image features. A portion of the aorta and one or more branch arteries corresponding to the determined aortic pathology may then be identified.

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