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公开(公告)号:US20210192263A1
公开(公告)日:2021-06-24
申请号:US16755171
申请日:2018-10-15
申请人: Optellum Limited
发明人: Jerome DECLERCK , Timor KADIR
摘要: A quantification system (300) is described that includes: at least one input (310) configured to provide at least one input medical image and provide a location of interest in the at least one input medical image; and a mapping circuit (325). The mapping circuit (325) is configured to: compute a direct quantification result from the location of interest of the at least one input medical image to a quantification of interest and output a direct first quantification result therefrom; generate a saliency map as part of the computation of the direct quantification result; and derive a segmentation from the saliency map, such that the segmentation independently generates a second quantification result that is within a result range of the direct first quantification result.
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公开(公告)号:US20230125090A1
公开(公告)日:2023-04-27
申请号:US17507671
申请日:2021-10-21
申请人: Optellum Limited
发明人: Elnaz GEDERI
IPC分类号: G06T7/00 , G06K9/62 , G16H30/20 , G16H30/40 , G16H50/20 , G16H50/30 , G16H10/60 , G06F30/10 , A61B6/00 , A61B8/08
摘要: A CADx system for analysing medical images for determining if the images are acceptable for analysis, by identifying the respiratory state of the lungs as shown in an image is described. The system comprising: an input circuit for receiving at least one image; a respiratory state assessor circuit for determining the respiratory state of the lungs in the input image where the respiratory state assessor is trained with a plurality of training images showing a range of different respiratory states, and an output circuit to produce an output confirming the respiratory state of the input image. A method of analysing images, and a method of training a machine learning model to recognize different respiratory states are also described.
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公开(公告)号:US11594005B2
公开(公告)日:2023-02-28
申请号:US16755173
申请日:2018-10-15
申请人: Optellum Limited
发明人: Jerome Declerck , Timor Kadir
IPC分类号: G06V10/28 , G16H30/20 , G06K9/62 , G06T7/11 , G06F17/18 , G06T7/00 , G06V10/44 , G06V10/46 , G06N3/08
摘要: A quantification system (700) is described that includes: at least one input (710) configured to provide two input medical images and two locations of interest in said input medical images that correspond to a same anatomical region; and a mapping circuit (725) configured to compute a direct quantification of change of said input medical images from the at least one input (710).
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公开(公告)号:US20200279369A1
公开(公告)日:2020-09-03
申请号:US16645872
申请日:2018-09-24
发明人: Timor KADIR , Lyndsey PICKUP , Vaclav POTESIL , Jerome DECLERCK
摘要: A Computer Aided Diagnosis, CADx, system (200) is described that comprises: at least one input (210, 212, 214) configured to provide at least one input medical image; and a CADx processing engine (220) configured to receive and process the at least one input medical image and produce at least one CADx score. A CADx score mapping circuit is operably coupled to the CADx processing engine (220) and configured to: map the at least one CADx score to a risk adjusted virtual score; and generate an output (235) of at least the risk adjusted virtual score associated with the processed at least one input medical image. The at least one CADx score and the risk adjusted virtual score correspond to an equivalent risk of condition or disease associated with a patient.
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公开(公告)号:US12112852B2
公开(公告)日:2024-10-08
申请号:US17094934
申请日:2020-11-11
申请人: Optellum Limited
CPC分类号: G16H50/20 , G06N3/04 , G06T7/0012 , G16H10/60 , G16H30/40 , G16H50/30 , G06T2207/20081 , G06T2207/20084 , G06T2207/30061
摘要: A method for providing a lung disease risk measure in a Computer Aided Diagnosis system is described. The method comprises the steps of: receiving an input comprising at least one input image showing all or part of the lungs of a patient; analysing the input to identify a feature descriptor comprised of at least one feature group, where each feature group comprises at least one feature computed from the input image; calculating a score explanation factor for each feature group, and an overall disease risk score for the patient's risk of lung disease from the feature descriptor; outputting the overall disease score risk score and a corresponding score explanation factor for each feature group. A computer aided diagnosis system is also described, along with a method for training a computer aided diagnosis system.
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公开(公告)号:US11955243B2
公开(公告)日:2024-04-09
申请号:US17094949
申请日:2020-11-11
申请人: Optellum Limited
IPC分类号: G16H50/30 , A61B5/00 , A61B5/055 , A61B5/08 , A61B6/03 , A61B8/00 , G06T7/00 , G16H10/40 , G16H30/20 , G16H30/40 , G16H50/20 , G16H50/50 , G16H50/70
CPC分类号: G16H50/30 , A61B5/004 , A61B5/055 , A61B5/08 , A61B5/7264 , A61B5/7275 , A61B5/7405 , A61B5/742 , A61B5/746 , A61B5/7475 , A61B6/032 , A61B6/037 , A61B8/00 , G06T7/0016 , G16H10/40 , G16H30/20 , G16H30/40 , G16H50/20 , G16H50/50 , G16H50/70 , G06T2207/10081 , G06T2207/10088 , G06T2207/10104 , G06T2207/10108 , G06T2207/10116 , G06T2207/10132 , G06T2207/20081 , G06T2207/20084 , G06T2207/30061
摘要: A method for providing a lung disease risk measure in a Computer Aided Diagnosis system is described. The method comprising the steps of: receiving a plurality of inputs for a subject, each input comprising at least one image showing all or part of the lungs of a patient and a time stamp for the image, where the inputs are obtained at varying intervals; analysing the inputs to assess temporal changes in the images using at least one of an input data encoder and a time stamp encoder; inputting the output of at least one of the encoders to a score calculator to calculate a risk score; outputting the risk score indicating the lung disease risk for the subject. A Computer Aided diagnosis system for implementing the method is also described.
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公开(公告)号:US20230268072A1
公开(公告)日:2023-08-24
申请号:US17677970
申请日:2022-02-22
申请人: Optellum Limited
摘要: A CADx system and method for analysing a medical image from a local population for a disease risk score and determining if the system is calibrated is described. The CADx system comprising :an input circuit for receiving at least one medical image and producing CADx derived data based on the received image; a machine learning model for determining a disease risk score for the medical image; a calibration auditor circuit for determining a calibration state of the CADx system by: receiving the CADx derived data and comparing the CADx derived data to training derived data, where the training derived data comprises one of more of: training data for the machine learning model for determining the disease risk score, and data on population factors associated with the training data; and an output circuit for outputting a disease risk score for the medical image and an indication of the calibration state.
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公开(公告)号:US20230197248A1
公开(公告)日:2023-06-22
申请号:US17557471
申请日:2021-12-21
申请人: Optellum Limited
CPC分类号: G16H30/40 , G16H50/30 , G16H50/20 , G06T7/0012 , G06T2207/30004 , G06T2207/30168 , G06T2207/20081
摘要: A CADx system and method for analysing medical images to determine a disease risk score is described. The system comprising: an input circuit for receiving an input comprising at least one medical image; a dynamic protocol adaptation circuit comprising a protocol adaptation circuit for receiving and analysing scan protocol information and providing an output from the protocol adaptation circuit as an input or modification to a disease prediction model based on the received scan protocol information; and an output circuit to produce an output that is a disease risk score calculated from the disease prediction model for the at least one medical image
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公开(公告)号:US20200279649A1
公开(公告)日:2020-09-03
申请号:US16645888
申请日:2018-09-24
发明人: Timor KADIR , Lyndsey PICKUP , Vaclav POTESIL , Jerome DECLERCK
摘要: A Computer Aided Diagnosis, CAD, training system (400) is described for training a CAD device (310) to receive and process at least one input medical image and produce an output that indicates a probability of a medical condition of a patient. The CAD device (310) comprises: an input circuit (305) configured to receive and assemble training data that comprises: medical data of patients that have been identified as having at least one medical condition, and medical data of patients that have been identified as not having the at least one medical condition. A parsing circuit (315) is configured to: separate the assembled training data into data sets, such that a first data set contains only the medical data of patients that have the at least one medical condition and a second data set contains only the medical data of patients that do not have the condition; and parse at least one of the data sets into at least two subsets (328), whereby a first subset is distinguished over a second subset of the at least two subsets (328) by at least one attribute. A data classifier circuit (330) is configured to associate different weights to the separated assembled training data, such that the first subset is prioritised during training of the CAD device.
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公开(公告)号:US12094107B2
公开(公告)日:2024-09-17
申请号:US17224543
申请日:2021-04-07
申请人: Optellum Limited
CPC分类号: G06T7/0012 , G16H50/20 , G16H50/30 , G06T2207/10088 , G06T2207/10104 , G06T2207/10108 , G06T2207/10116 , G06T2207/10132 , G06T2207/20081 , G06T2207/20084 , G06T2207/30064
摘要: A method for analysing images in a computer aided diagnosis system (CADx) to provide a first image analysis score and a second image analysis score for an image is described. The method comprising; receiving an input comprising at least one input image showing all or part of the lungs of a subject; analysing the input to calculating a first image analysis value and a second image analysis value for the input and processing the calculated values to generate corresponding first image analysis and second image analysis scores and outputting at least one of the first image analysis score and the second image analysis score for the subject. A computer aided diagnosis system (CADx) and a method of training a computer aided diagnosis system are also described.
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