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公开(公告)号:US20240358260A1
公开(公告)日:2024-10-31
申请号:US18646830
申请日:2024-04-26
Inventor: Byeong Il LEE , Myung Gi YI
CPC classification number: A61B5/015 , A61B5/004 , G06T7/11 , A61B2576/02 , G06T2207/30004
Abstract: The present disclosure relates to a body extremity temperature change monitoring system and method. More specifically, the present disclosure relates to a body extremity temperature change monitoring system and method, which can monitor a temperature change by recognizing a body extremity and measuring the body temperature of the recognized body extremity. The body extremity temperature change monitoring system comprises: an image data acquisition unit that acquires body extremity image data including a hand or a foot; a segmented area generation unit; and a body extremity temperature map generation unit that generates a body extremity temperature map using temperature data for each of the segmented areas, wherein the body extremity is defined to include base parts having a palm and a foot sole, and branch parts having fingers and toes.
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公开(公告)号:US12112407B2
公开(公告)日:2024-10-08
申请号:US17329766
申请日:2021-05-25
Applicant: CANON MEDICAL SYSTEMS CORPORATION
Inventor: Kensuke Shinoda , Hideaki Kutsuna
CPC classification number: G06T11/006 , A61B5/004 , A61B5/055 , G06T5/94 , G06T7/0012 , A61B2576/02 , G06T2207/10088 , G06T2207/30101
Abstract: An image generating apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to successively generate Magnetic Resonance (MR) images in a plurality of temporal phases by using a first reconstruction method. The processing circuitry is configured to determine a first temporal phase before MR images in all the temporal phases during a predetermined time period are generated. The processing circuitry is configured to generate an MR image in the first temporal phase determined by the determining unit, by using a second reconstruction method having a larger processing load than the first reconstruction method.
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公开(公告)号:US20240315588A1
公开(公告)日:2024-09-26
申请号:US18679796
申请日:2024-05-31
Applicant: Drägerwerk AG & Co. KGaA
Inventor: Yvo GÄRBER
IPC: A61B5/0536 , A61B5/00 , A61B5/08 , A61B5/085
CPC classification number: A61B5/0536 , A61B5/0809 , A61B5/085 , A61B5/7246 , A61B5/7271 , A61B5/742 , A61B5/7425 , A61B5/004 , A61B5/08
Abstract: A device (10) processes and visualizes EIT data (3) of at least one region of the lungs to determine and visualize ventilation delays in the lungs of a living being. The EIT data (3) are obtained from an electrical impedance tomography apparatus (30). The device makes it possible to visualize regional ventilation delays of the lungs or of regions of the lungs in which the delay exceeds a predefined duration (76) in a joint image (900).
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公开(公告)号:US12089915B2
公开(公告)日:2024-09-17
申请号:US18554680
申请日:2021-05-10
Inventor: Xuming Zhang , Tuo Wang
CPC classification number: A61B5/004 , A61B5/055 , A61B5/7267 , G06N3/084 , G06T7/0012 , G06T2207/20081 , G06T2207/20084 , G06T2207/30081 , G06V10/764 , G06V10/82 , G06V2201/031
Abstract: The present invention discloses a method and a system for prostate multi-modal MR image classification based on a foveated residual network, the method comprising: replacing convolution kernels of a residual network using blur kernels in a foveation operator, thereby constructing a foveated residual network; training the foveated residual network using prostate multi-modal MR images having category labels, to obtain a trained foveated residual network; and classifying, using the foveated residual network, a prostate multi-modal MR image to be classified, so as to obtain a classification result. In the present invention, a foveation operator is designed based on human visual characteristics, blur kernels of the operator are extracted and used to replace convolution kernels in a residual network, thereby constructing a foveated deep learning network which can extract features that conform to the human visual characteristics, thereby improving the classification accuracy of prostate multi-modal MR images.
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公开(公告)号:US12076168B2
公开(公告)日:2024-09-03
申请号:US17229759
申请日:2021-04-13
Applicant: HEMOCEPT INC.
Inventor: Eric Raman , Kevin Peterson , Iain Hueton
IPC: A61B5/00 , A61B5/0205 , A61B5/024 , A61B5/145 , A61B5/1455 , A61B5/282 , A61B5/349 , A61B5/366 , G16H40/63 , A61B5/0245
CPC classification number: A61B5/7285 , A61B5/0006 , A61B5/0036 , A61B5/004 , A61B5/0205 , A61B5/024 , A61B5/14 , A61B5/14552 , A61B5/282 , A61B5/349 , A61B5/366 , A61B5/4839 , A61B5/6823 , A61B5/6831 , A61B5/6833 , G16H40/63 , A61B5/02427 , A61B5/0245 , A61B2560/0223 , A61B2562/146
Abstract: A system using combined electrocardiography (EKG) and photoplethysmography (PPG) sensing, to determine venous oxygen saturation is described. The system uses averaging of similar pulses based on Prior (or n−1) R-to-R pulse wave duration, and current (or n) R-to-R pulse wave duration for evaluation of the metabolic reserve and/or stress of the patient.
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公开(公告)号:US12076139B2
公开(公告)日:2024-09-03
申请号:US16958133
申请日:2018-12-28
Applicant: Raydiant Oximetry, Inc.
Inventor: Neil Padharia Ray , Mark Andrew Rosen , Adam Jacobs , Nevan Hanumara
IPC: A61B8/08 , A61B5/00 , A61B5/055 , A61B5/107 , A61B5/1455 , A61B5/1464
CPC classification number: A61B5/14551 , A61B5/004 , A61B5/055 , A61B5/1075 , A61B5/1079 , A61B5/1464 , A61B5/742 , A61B8/0866 , A61B2503/02
Abstract: A system and/or device for transabdominal fetal oximetry and/or fetal pulse oximetry and/or uterine tone determination may include one or more articulating, adjustable, and/or selectable components such as a light source and/or a photodetector. In some embodiments, the positioning of a light source and/or detector may be adjustable. The articulation and/or adjustment of position of the light source and/or photodetector may be in any plane (X, Y, and/or Z) and, in some instances, may be responsive to a fetal position within a maternal abdomen. Light detected by the detectors may be used to determine a fetal hemoglobin oxygen saturation level and/or a muscular state (e.g., contracted or relaxed) of the pregnant mammal's uterus.
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公开(公告)号:US12051201B2
公开(公告)日:2024-07-30
申请号:US17723525
申请日:2022-04-19
Applicant: FUJIFILM Corporation
Inventor: Hiroki Watanabe
CPC classification number: G06T7/0012 , A61B5/004 , A61B5/0059 , A61B5/4216 , G06T2207/30092
Abstract: An image processing device includes a processor, and the processor decides whether or not to perform image processing on the medical image on the basis of an imaging condition of the medical image and/or an image analysis result obtained by analyzing the medical image. The processor performs, for the medical image on which the processor has decided to perform the image processing, at least one of calculation of an index value related to a stage of ulcerative colitis, determination of the stage of the ulcerative colitis, or determination of remission or non-remission of the ulcerative colitis on the basis of denseness of superficial blood vessels, intramucosal hemorrhage, and extramucosal hemorrhage that are obtained from the medical image.
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公开(公告)号:US12016701B2
公开(公告)日:2024-06-25
申请号:US16329608
申请日:2017-08-30
Applicant: Yong Wang , Gloria Guzman , Qing Wang , Tammie Benzinger
Inventor: Yong Wang , Gloria Guzman , Qing Wang , Tammie Benzinger
IPC: A61B5/00 , A61B5/055 , G01R33/56 , G01R33/563
CPC classification number: A61B5/4887 , A61B5/004 , A61B5/055 , A61B5/7264 , A61B5/7271 , A61B5/743 , G01R33/5602 , G01R33/56341
Abstract: Provided herein are methods for imaging and diagnosing at least one disorder in a patient utilizing diffusion basis spectrum imaging MRI with extended isotropic spectrum (DBSI-EIS). The methods may be used as a tool to image and diagnose heterogeneities within tumors. As a result, different tumor types can be detected, distinguished from one another, and individually quantified without the need to inject exogenous contrast agents.
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公开(公告)号:US20240193765A1
公开(公告)日:2024-06-13
申请号:US18331232
申请日:2023-06-08
Inventor: Ho Yin Martin YEUNG , Ngai Nick Alex WONG , Jung Sun YOO , Cheong Kin Ronald CHAN , Ka Fai TO
CPC classification number: G06T7/0012 , A61B5/004 , G06T2207/20081 , G06T2207/20084
Abstract: In generating training and testing datasets for machine learning, manual annotation of a large volume of data is impractical and expensive. A machine-learning model for detecting carcinoma (CA) from a whole slide image (WSI) processes average cellular features of cells identified on the WSI. Each cellular feature is a descriptive statistic of the cells, advantageously allowing the training and testing datasets to be constructed without a costly annotation process of pixelwise labelling each cell on a WSI training sample. Apart from predicting a CA case or a non-CA case for the WSI, the machine-learning model is also usable to: identify a suspicious CA case for priority assessment if a non-CA case is predicted for the WSI; generate a tumor probability heatmap of the WSI for visualizing potential CA regions on the WSI to assist pathological assessment; and assess quality control of a triage system before implementation in clinical setting.
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公开(公告)号:US20240115189A1
公开(公告)日:2024-04-11
申请号:US18263827
申请日:2022-02-02
Applicant: HIPPOCREATES
Inventor: Wim HOFKENS , Peter DE ROOVERE
IPC: A61B5/00
CPC classification number: A61B5/411 , A61B5/004 , A61B5/0064 , A61B5/0077 , A61B5/445 , A61B2576/02
Abstract: A system for detection and metrology of an allergen skin reaction of an individual, including: hosting a body part of the individual and subjecting a skin surface area of the body part to an allergen skin reaction test; with a plurality of light sources, successively illuminating the skin surface area having been subjected to the allergen skin reaction test under predetermined illumination angles; imaging, from a fixed position and for each of the predetermined illumination angles, the illuminated skin surface; and determining one or more illumination-angle-dependent variations in light intensity imaged by the acquisition means, wherein the illumination-angle-dependent variations are caused by one or more wheals on the skin surface area.
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