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公开(公告)号：US10909674B2
公开(公告)日：2021-02-02
申请号：US15021974
申请日：2014-09-24
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Lilla Boroczky , Shyam Bharat , Bruce Reiner
Abstract: A method generates images based on context-aware imaging. The method includes acquiring a first image of a patient using first image acquisition parameters. The method includes determining, within the first image, an area as a function of first data associated with the patient. The method includes determining modification data as a function of at least one of (a) second data corresponding to the determined area and (b) the first data. The method includes determining second image acquisition parameters as a function of the modification data and the first image acquisition parameters. The method includes acquiring a second image of the patient using the second image acquisition parameters.
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公开(公告)号：US20190150870A1
公开(公告)日：2019-05-23
申请号：US16252664
申请日：2019-01-20
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Lilla Boroczky , Rafael Wiemker
Abstract: A method includes determining, with a computer implemented classifier, a health state of tissue interest of a subject in at least one pair of images of the subject based on a predetermined set of longitudinal features of the tissue of interest of the subject in the at least one pair of images of the subject. The at least one pair of images of the subject includes a first image of the tissue of interest acquired at a first moment in time and a second image of the tissue of interest acquired at a second moment in time. The first and second moments in time are different moments in time. The method further includes visually displaying indicia indicative of the determined health state.
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公开(公告)号：US20160070861A1
公开(公告)日：2016-03-10
申请号：US14768503
申请日：2014-03-17
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Shyam Bharat , Lilla Boroczky
IPC: G06F19/00
CPC classification number: G16H10/60
Abstract: Described herein are a system(s) and/or a method(s) that associate results of medical procedures for a particular medical finding over a lifetime of the finding. A method includes tagging, with a same finding unique identifier tag (FUID), electronic formatted medical results from different events for a same finding of a patient, storing the electronic formatted medical results along with the FUID, wherein the stored tagged different electronic formatted medical results provide a longitudinal record for the finding from discovery of the finding through a last event for the finding. A system includes a FUID repository that stores a single FUID for each different finding for each different patient, and a new FUID generator that generates a new FUID for a new finding. The FUIDs in the FUID repository are accessible to a plurality of medical facilities which tag electronic data for a same finding with a same FUID.
Abstract translation: 这里描述的是在该发现的一生中将特定医学发现的医疗程序的结果相关联的系统和/或方法。 一种方法包括使用相同的寻找唯一标识符标签（FUID）对来自不同事件的电子格式化医疗结果进行标记，以对于患者的相同发现存储电子格式化的医学结果以及FUID，其中存储的标记的不同电子格式化医学 结果提供了通过发现的最后一个事件发现发现的发现的纵向记录。 系统包括FUID存储库，其存储针对每个不同患者的每个不同发现的单个FUID，以及为新发现生成新的FUID的新的FUID生成器。 FUID存储库中的FUID可以被多个医疗设施访问，这些医疗设施使用相同的FUID标记相同发现的电子数据。
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公开(公告)号：US20190108632A1
公开(公告)日：2019-04-11
申请号：US16152487
申请日：2018-10-05
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Lilla Boroczky , Lalitha Agnihotri , Luyin Zhao , Michael Chun-chieh Lee , Charles Andrew Powell , Alain C. Borczuk , Steven Kawut
Abstract: Methods are herein provided for decision support in diagnosis of a disease in a subject, and for extracting features from a multi-slice data set. Systems for computer-aided diagnosis are provided. The systems take as input a plurality of medical data and produces as output a diagnosis based upon this data. The inputs may consist of a combination of image data and clinical data. Diagnosis is performed through feature selection and the use of one or more classifier algorithms.
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Patent Agency Ranking
公开(公告)号：US20180125446A1
公开(公告)日：2018-05-10
申请号：US15572180
申请日：2016-05-20
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Lilla Boroczky , Amir Mohammad TAHMASEBI MARAGHOOSH , Shyam Bharat
CPC classification number: A61B8/08 , A61B8/12 , A61B8/463 , A61B8/485 , A61B8/5223 , A61B10/0241 , A61N5/1001 , G06K9/6267 , G06K2209/05 , G06T7/0012 , G06T7/41 , G06T2207/10132 , G06T2207/20081 , G06T2207/30081 , G06T2207/30096
Abstract: An ultrasound system for performing cancer grade mapping includes an ultrasound imaging device (10) that acquires ultrasound imaging data. An electronic data processing device (30) is programmed to generate an ultrasound image (34) from the ultrasound imaging data, and to generate a cancer grade map (42) by (i) extracting sets of local features from the ultrasound imaging data that represent map pixels of the cancer grade map and (ii) classifying the sets of local features using a cancer grading classifier (46) to generate cancer grades for the map pixels of the cancer grade map. A display component (20) displays the cancer grade map, for example overlaid on the ultrasound image as a color-coded cancer grade map overlay. The cancer grading classifier is learned from a training data set (64) comprising sets of local features extracted from ultrasound imaging data at biopsy locations and labeled with histopathology cancer grades.
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公开(公告)号：US11004196B2
公开(公告)日：2021-05-11
申请号：US16152487
申请日：2018-10-05
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Lilla Boroczky , Lalitha Agnihotri , Luyin Zhao , Michael Chun-chieh Lee , Charles Andrew Powell , Alain C. Borczuk , Steven Kawut
Abstract: Methods are herein provided for decision support in diagnosis of a disease in a subject, and for extracting features from a multi-slice data set. Systems for computer-aided diagnosis are provided. The systems take as input a plurality of medical data and produces as output a diagnosis based upon this data. The inputs may consist of a combination of image data and clinical data. Diagnosis is performed through feature selection and the use of one or more classifier algorithms.
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公开(公告)号：US10585940B2
公开(公告)日：2020-03-10
申请号：US15304321
申请日：2015-04-16
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Lilla Boroczky , Michael Chun-Chieh Lee
IPC: G06F19/00 , G06F17/30 , G06F16/58 , G06F16/2457 , G16H50/20 , G06Q10/06 , G16H50/70 , G16H40/20
Abstract: When evaluating patient cases to determine complexity thereof, a computer-aided stratification technique is applied to analyze historical patient case diagnoses and correctness thereof in order to calculate a stratification score (20) for each of a plurality of abnormality types and/or anatomical locations. When a new patient case is received, the computer-aided stratification technique is applied to evaluate the patient case in view of historical data and assign a stratification score thereto. A ranked list (21) of current patient cases can be generated according to stratification scores, and physician workload can be adjusted as a function thereof so that workload is balanced across physicians and/or according to physician experience level.
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公开(公告)号：US10219767B2
公开(公告)日：2019-03-05
申请号：US15516512
申请日：2015-09-29
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Lilla Boroczky , Rafael Wiemker
Abstract: A method includes determining, with a computer implemented classifier, a health state of tissue interest of a subject in at least one pair of images of the subject based on a predetermined set of longitudinal features of the tissue of interest of the subject in the at least one pair of images of the subject. The at least one pair of images of the subject includes a first image of the tissue of interest acquired at a first moment in time and a second image of the tissue of interest acquired at a second moment in time. The first and second moments in time are different moments in time. The method further includes visually displaying indicia indicative of the determined health state.
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公开(公告)号：US10664567B2
公开(公告)日：2020-05-26
申请号：US15109700
申请日：2015-01-12
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Yinhui Deng , Qi Zhong Lin , Lilla Boroczky , Michael Chun-Chieh Lee , Ying Wu
Abstract: A method includes obtaining, in electronic format, an image (102) including a medical image display region (104) and an information display region (106). The at least one of the medical image display region or the information display region includes graphical indicia representing at least one of an annotation (110, 112, 114, 116) or alphanumeric information (118, 120, 122, 124, 126, 128, 130, 132, 134, 136, 138, 140). The method further includes evaluating pixels of the image to identify pixels including the graphical indicia representing an annotation or alphanumeric information of interest in the image. The method further includes extracting the annotation or alphanumeric information of interest from the identified graphical indicia from the image. The method further includes inserting the extracted annotation or alphanumeric information of interest in an electronically formatted clinical report for the image.
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