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1.发明公开公开(公告)号：US20240177850A1
公开(公告)日：2024-05-30
申请号：US18280698
申请日：2022-02-25
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Gereon Vogtmeier , Nagaraju Bussa , Mark Thomas Johnson , Christoph Günther Leussler , Rithesh Sreenivasan , Jan Hendrik Wuelbern , Rajendra Singh Sisodia
Abstract: A method for establishing and/or changing a communication path between a subject and a radiation medical device (20, 30) in real time during operation of the radiation medical device (20:30). The method comprises providing, by a data processing unit, a set of communication methods between the subject and the radiation medical device, wherein the communication methods of the set of communication methods differ from each other in terms of the used technology (S 10): transmitting, by the data processing unit, at least one test signal to the subject via at least one communication method of the set of communication methods (S20); receiving, by the data processing unit, at least one response signal from the subject in response to the test signal (S30): assessing, by the data processing unit, the at least one response signal by analyzing it and/or the test signal for one or more response indicators indicating whether the subject is responding to the test signal, and to derive an assessing result therefrom (S40): in case the assessing result is positive: selecting, by the data processing unit, the at least one communication method of the set of communication methods for establishing the communication path (S50); in case the assessing result is negative: transmitting, by the data processing unit, at least one further test signal to the subject via at least one further communication method of the set of communication methods, receiving, by the data processing unit, at least one further response signal from the subject in response to the at least one further test signal, assessing, by the data processing unit, the at least one further response signal by analyzing it and/or the test signal for one or more response indicators indicating whether the subject is responding to the test signal, and to derive a further assessing result therefrom, in case the further assessing result is positive, selecting the at least one further communication method of the set of communication methods for establishing the communication path (S60).
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公开(公告)号：US20210158526A1
公开(公告)日：2021-05-27
申请号：US17047102
申请日：2019-04-12
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Ravindra Balasaheb Patil , Rithesh Sreenivasan , Krishnamoorthy Palanisamy , Nagaraju Bussa
IPC: G06T7/00 , G06K9/62 , G16H30/20 , G16H50/20 , G16H30/40 , G16H40/20 , G16H40/67 , G06N3/08 , A61B5/055 , A61B6/00 , A61B8/08
Abstract: The invention provides for a medical imaging system (100, 300, 400, 700) comprising: a memory (110) for storing machine executable instructions (120) and a processor (106) for controlling the medical imaging system. Execution of the machine executable instructions causes the processor to: receive (200) three-dimensional medical image data (122) comprising multiple slices; receive (202) an imaging modality (124) of the three-dimensional medical image data; receive (204) an anatomical view classification (126) of the three-dimensional medical image data; select (206) a chosen abnormality detection module (130) from a set of abnormality detection modules (128) using the imaging modality and the anatomical view classification, wherein at least a portion of the abnormality detection modules is a convolution neural network trained for identifying if the at least a portion of the multiple slices as either normal or abnormal; classify (208) the at least a portion of the multiple slices as normal or abnormal using the abnormality detection module; and choose (210) a set of selected slices (136) from the multiple slices according to a predetermined selection criteria (134) if a predetermined number of the multiple slices are classified as abnormal.
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公开(公告)号：US20190043611A1
公开(公告)日：2019-02-07
申请号：US16050257
申请日：2018-07-31
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Axel Saalbach , Tom Brosch , Daniel Bystrov , Nagaraju Bussa , Dinesh Mysore Siddu
Abstract: There is provided an apparatus (104) for storing medical imaging data. The apparatus comprises a processor configured to acquire a medical imaging study relating to a subject; identify elements in the medical imaging study that are indicative of the identity of the subject; anonymize the medical imaging study by removing the identified elements from the medical imaging study; deliver the anonymized medical imaging study for storage at a first location; and deliver data relating to the identified elements for storage at a second location. An apparatus for retrieving medical imaging data from storage, associated methods and a computer program product are also disclosed.
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公开(公告)号：US12165308B2
公开(公告)日：2024-12-10
申请号：US17047102
申请日：2019-04-12
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Ravindra Balasaheb Patil , Rithesh Sreenivasan , Krishnamoorthy Palanisamy , Nagaraju Bussa
IPC: G06T7/00 , A61B1/00 , A61B5/055 , A61B6/00 , A61B6/03 , A61B8/08 , G06F18/2431 , G06N3/08 , G16H30/20 , G16H30/40 , G16H40/20 , G16H40/67 , G16H50/20
Abstract: A medical imaging system (100, 300, 400, 700) includes a processor and memory with instructions executable by the processor to receive (200) three-dimensional medical image data (122) comprising multiple slices, receive (202) an imaging modality (124) of the three-dimensional medical image data, receive (204) an anatomical view classification (126) of the three-dimensional medical image data, select (206) a chosen abnormality detection module (130) from a set of abnormality detection modules (128) using the imaging modality and the anatomical view classification, wherein at least a portion of the abnormality detection modules is a convolution neural network trained for identifying if the at least a portion of the multiple slices as either normal or abnormal, classify (208) the at least a portion of the multiple slices as normal or abnormal using the abnormality detection module, and choose (210) a set of selected slices (136) from the multiple slices according to a predetermined selection criteria (134) if a predetermined number of the multiple slices are classified as abnormal.
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公开(公告)号：US20220375608A1
公开(公告)日：2022-11-24
申请号：US17762755
申请日：2020-10-02
Applicant: KONINKLIJKE PHILIPS N.V.
Abstract: According to an aspect there is provided a computer-implemented method of monitoring performance of a predictive computer-implemented model, PCIM, that is used to monitor the status of a first system. The PCIM receives as inputs observed values for a plurality of features relating to the first system, and the PCIM determines whether to issue status alerts based on the observed values. The method comprises: obtaining reference information for the PCIM, wherein the reference information for the PCIM comprises a first set of values for the plurality of features relating to the first system in a first time period; determining a set of reference probability distributions from the first set of values, the set of reference probability distributions comprising a respective reference probability distribution for each of the features that is determined from the values of the respective feature in the first set of values; obtaining operational information for the PCIM, wherein the operational information for the PCIM comprises a second set of values for the plurality of features relating to the first system in a second time period that is after the first time period; determining a set of operational probability distributions from the second set of values, the set of operational probability distributions comprising a respective operational probability distribution for each of the features that is determined from the values of the respective feature in the second set of values; determining a drift measure for the PCIM representing a measure of drift in performance of the PCIM between the first time period and the second time period, wherein the drift measure is based on a comparison of the set of reference probability distributions and the set of operational probability distributions; and output the drift measure.
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Patent Agency Ranking
公开(公告)号：US20240055138A1
公开(公告)日：2024-02-15
申请号：US18270052
申请日：2021-12-27
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Rithesh Sreenivasan , Nagaraju Bussa , Krishnamoorthy Palanisamy , Gereon Vogtmeier , Mark Thomas Johnson , Rajendra Singh Sisodia , Steffen Weiss , Christoph Günther Leussler
CPC classification number: G16H50/50 , A61B5/165 , G16H20/00 , A61B5/4833 , A61B5/0077 , A61B5/6803 , G16H50/20 , G16H10/60
Abstract: In order to improve workflow efficiency and/or patient experience during a scan procedure, a system is proposed to provide—prior to arrival at the hospital—an indication of the suitability of a patient to be assigned to a specific level of autonomy in a medical scanning procedure. The system comprises a scan simulation module, a patient monitoring module, and a patient profile generation module. The scan simulation module comprises one or more sensory stimulation devices configured to apply at least one sensory stimulus over a patient to simulate a scan environment that may be experienced by a patient during a scan procedure. The patient monitoring module comprises one or more sensors configured to acquire data of the patient in the simulated scan environment. The patient profile generation module is configured to determine a state of anxiety of the patient based on the acquired data and to create a patient profile comprising the determined state of anxiety of the patient in the simulated scan environment.
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公开(公告)号：US11501451B2
公开(公告)日：2022-11-15
申请号：US17259208
申请日：2019-07-11
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Dinesh Mysore Siddu , Krishnamoorthy Palanisamy , Christopher Stephen Hall , Nagaraju Bussa
Abstract: Presented are concepts for detecting subject motion in medical imaging of a subject. One such concept obtains a motion classification model representing relationships between motion of image features and subject motion values. For each of a plurality of medical slice images of an imaged volume of the subject, an image feature of the medical slice image is extracted. Based on the extracted image feature for each of the plurality of medical slice images, motion information for the image feature is determined. Based on the motion information for the image feature and the obtained motion classification model, a subject motion value is determined.
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公开(公告)号：US10687723B2
公开(公告)日：2020-06-23
申请号：US15744918
申请日：2016-07-12
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Ravindra Balasaheb Patil , Rajendra Singh Sisodia , Krishnamoorthy Palanisamy , Nagaraju Bussa , Vikram Basawaraj Patil Okaly , Larry Nielsen
IPC: A61B5/0452 , A61B5/04 , A61B5/00 , A61B5/08 , A61B5/11 , A61B5/0205
Abstract: The present invention relates to a method of automatic labeling of activity of a subject on ECG data. The method of the invention comprises acquiring at least one physiological input signal purporting to an ECG signal and processing thereof. The processing of the at least one physiological input signal comprises conditioning the ECG signal and processing thereof, wherein the processing comprises obtaining respiration data from the ECG signal, identifying the activity pertaining to the said ECG data based on at least a signal specific feature of the said ECG signal, wherein the respiration data are used for differentiating activities performed by the subject, and labeling the said ECG data with the said activity, automatically. The present invention also relates to a system for automatic labeling of activity on ECG data in accordance with the method of the invention.
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公开(公告)号：US20150324531A1
公开(公告)日：2015-11-12
申请号：US14361925
申请日：2012-11-19
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Marcia Alves De Inda , Leonie Francelle Waanders , Wendy Uyen Dittner , Nagaraju Bussa , Arun Kumar Mani , Janke Jörn Dittmer
IPC: G06F19/00
CPC classification number: G16H40/20 , G06F19/325
Abstract: The present invention relates to systems for planning use of resources under consideration of time constraints. The present invention further relates to methods for scheduling use of resources under consideration of time constraints.
Abstract translation: 本发明涉及用于规划在时间限制下考虑的资源的使用的系统。 本发明还涉及在考虑时间约束的情况下调度资源的使用的方法。
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公开(公告)号：US20230298767A1
公开(公告)日：2023-09-21
申请号：US18017099
申请日：2021-07-15
Applicant: KONINKLIJKE PHILIPS N.V.
Inventor： Gereon Vogtmeier , Nagaraju Bussa , Steffen Weiss , Mark Thomas Johnson , Christopher Günther Leussler
CPC classification number: G16H70/20 , A61M21/00 , G16H10/60 , A61M2021/0027 , A61M2021/0044 , A61M2021/0077 , A61M2021/0083 , A61M2202/048 , A61B6/0407
Abstract: The present invention relates to wake-up management. An apparatus is provided for assessing a wake-up procedure of a sedated patient in an imaging process. The apparatus comprises an input unit, a processing unit, and an output unit. The input unit is configured to receive patient profile data and sedation data comprising information about a sedation state of the sedated patient. The processing unit is configured to apply a data-driven model to the patient profile data and sedation data of the sedated patient to estimate at least one timing in the wake-up procedure of the sedated patient. The data-driven model has been trained on a training dataset obtained from historical data of one or more patients. The training dataset comprises patient profile data and sedation data of the one or more patients as training inputs and at least one timing in the wake-up procedure of the one or more patients as training outputs. The output unit is configured to provide the at least one estimated timing. The patients reaction to the sedation medication is patient specific and also the timing of the wake up procedure is patient specific. The timing prediction may help in understanding when the patient will wake-up from the sedation and hence next steps in the workflow, such as post imaging as exiting the bore, and/or performing autonomous standing up from the patient support.
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