Patents Examined by Jon Chang
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Patent number: 12039729Abstract: A method, performed by a processor, for processing a blood vessel image from an angiography image may comprise the steps of: extracting a target blood vessel from a blood vessel image; identifying an error portion from the extraction result of the target blood vessel on the basis of at least one of blood vessel structure data related to the target blood vessel, curvature information of the target blood vessel, diameter information of the target blood vessel, and brightness information of the target blood vessel; and in response to a case where an error portion is identified in the target blood vessel, correcting the identified error portion.Type: GrantFiled: February 5, 2021Date of Patent: July 16, 2024Assignee: MEDIPIXEL, INC.Inventors: Jihoon Kweon, Young-Hak Kim, Hwi Kwon
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Patent number: 12033316Abstract: The present disclosure is generally related to systems and methods that can be implemented in a mobile application to allow users, such as parents and care providers, to measure and monitor, for example, a patient's body including an infant's head shape, at the point of care. The point of care can be, for instance, the home environment, a doctor's office, or a hospital setting. After acquiring 2D and/or 3D images of the body part, parameters reflecting potential deformity can be calculated. If abnormal measurements are determined, the user can be guided through therapeutic options to improve the condition. Based on the severity of the condition, different recommendations can be provided. Moreover, longitudinal monitoring and evaluation of the parameters can be performed. Monitoring of the normal child development can also be performed through longitudinal determination of parameters and comparison to normative values. Data can be shared with clinician's office.Type: GrantFiled: March 25, 2019Date of Patent: July 9, 2024Assignee: PediaMetrix Inc.Inventor: Fereshteh Aalamifar
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Patent number: 12033432Abstract: Disclosed are system, method, and computer program product embodiments for determining a digital marker indicative of a neurological condition. An embodiment operates by detecting a region of interest in an image frame of a face of a user. The region of interest includes an eye of the user and the image frame is obtained from a video stream. The embodiment then generates a point spread function (PSF) based on acquired data and a portion of the image frame specified by the region of interest, performs deconvolution on the portion of the image frame specified by the region of interest using the PSF, determines a set of oculometric parameters of the eye of the user using the deconvolved image, and determines one or more digital markers of the user based on the set of oculometric parameters. The one or more digital markers are indicative of a neurological condition of the user.Type: GrantFiled: October 11, 2023Date of Patent: July 9, 2024Assignee: NeuraLight Ltd.Inventors: Edmund Ben-Ami, Micha Yochanan Breakstone, Rotem Zvi Bar-Or, Vladimir Anisimov
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Patent number: 12032658Abstract: A method and system to generate a probabilistic prediction of the presence/absence of cancer in longitudinal and current image datasets, and/or multimodal image datasets, and the location of the cancer, is described. The method and system uses an ensemble of deep learning models. The ensemble includes a global model in the form of a 3D convolutional neural network (CNN) extracting features in the datasets indicative of the presence of cancer on a global basis. The ensemble also includes a two-stage prediction model which includes a first stage or detection model which identifies cancer detection candidates (different cropped volumes of 3D data in the a dataset containing candidates which may be cancer) and a second stage or probability model which incorporates the longitudinal datasets (or multimodal images in a multimodal dataset) and the extracted features from the global model and assigns a cancer probability p to each of the cancer detection candidates.Type: GrantFiled: November 20, 2018Date of Patent: July 9, 2024Assignee: Google LLCInventors: Atilla Kiraly, Shravya Shetty, Sujeeth Bharadwaj, Diego Ardila, Bokyung Choi
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Patent number: 11995818Abstract: A method for imaging includes acquiring surface image data for a target using a first imaging modality. A visual representation of the target based on the surface image data is generated. Internal image data for the target is acquired using a second imaging modality. During acquisition of the internal image data, the visual representation of the target based on the acquired internal image data is updated.Type: GrantFiled: February 17, 2021Date of Patent: May 28, 2024Assignee: Hologic, Inc.Inventors: John Laviola, Julian Marshall, Bob Brody, Kenneth F. Defreitas
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Patent number: 11991342Abstract: A method for training a depth estimation model and methods for use thereof are described. Images are acquired and input into a depth model to extract a depth map for each of the plurality of images based on parameters of the depth model. The method includes inputting the images into a pose decoder to extract a pose for each image. The method includes generating a plurality of synthetic frames based on the depth map and the pose for each image. The method includes calculating a loss value with an input scale occlusion and motion aware loss function based on a comparison of the synthetic frames and the images. The method includes adjusting the plurality of parameters of the depth model based on the loss value. The trained model can receive an image of a scene and generate a depth map of the scene according to the image.Type: GrantFiled: June 22, 2021Date of Patent: May 21, 2024Assignee: NIANTIC, INC.Inventors: Clément Godard, Oisin MacAodha, Michael Firman, Gabriel J. Brostow
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Patent number: 11989832Abstract: A method for constructing a three-dimensional representation of an internal surface of a conduit comprises obtaining a plurality of images of the internal surface of the conduit, for example from a camera mounted on an inspection tool, constructing, from the plurality of images, a composite image of the internal surface, providing a shape model of the internal surface, constructing, using the shape model, a three-dimensional mesh of the internal surface, and constructing a three-dimensional representation of the internal surface by assigning a pixel value from the composite image to a corresponding node of the mesh. The three-dimensional representation may be derived from two or more sets of images obtained under different image acquisition conditions, such as different camera angles, lighting conditions or spectral sensitivities.Type: GrantFiled: February 4, 2019Date of Patent: May 21, 2024Assignee: E.V. OFFSHORE LIMITEDInventors: Steven Helmore, Christopher Scott, Philip Brown, Jonathan Thursby
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Patent number: 11978204Abstract: Methods, systems, and non-transitory computer readable media for computing physical dimensions of feet based on user-captured images are described. In at least one embodiment, an exemplary method comprises: receiving, by a server from a user device, an image of the user's foot or feet; segmenting the image to identify the user's foot or feet; computing the one or more physical parameters of the user's foot or feet.Type: GrantFiled: June 2, 2023Date of Patent: May 7, 2024Assignee: Aetrex, Inc.Inventors: Laurence I Schwartz, Kumar Rajan, Sae Hwang, Alexander Choy
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Patent number: 11972620Abstract: A classifier engine provides cell morphology identification and cell classification in computer-automated systems, methods and diagnostic tools. The classifier engine performs multispectral segmentation of thousands of cellular images acquired by a multispectral imaging flow cytometer. As a function of imaging mode, different ones of the images provide different segmentation masks for cells and subcellular parts. Using the segmentation masks, the classifier engine iteratively optimizes model fitting of different cellular parts. The resulting improved image data has increased accuracy of location of cell parts in an image and enables detection of complex cell morphologies in the image. The classifier engine provides automated ranking and selection of most discriminative shape based features for classifying cell types.Type: GrantFiled: October 21, 2020Date of Patent: April 30, 2024Inventors: Alan Li, Shobana Vaidyanathan
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Patent number: 11967085Abstract: A medical image processing apparatus including processing circuitry configured to: obtain from medical imaging measurements, observations of one or more vector or tensor valued fields as projected from one or more 2D acquisition planes; use an optimisation procedure to determine from the observations a superset of 3D fields (which may be scalar, vector, or tensor) via a solution ansatz constrained by a system of partial differential equations, and output the plurality of these fields.Type: GrantFiled: February 11, 2021Date of Patent: April 23, 2024Assignee: CANON MEDICAL SYSTEMS CORPORATIONInventors: Murray Cutforth, Ewan Hemingway
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Patent number: 11957217Abstract: This invention belongs to measurement methods that can be used in light industry, when measuring the shape and size of the human body parts. Disclosed is a method, over the course of which, based on a series of photographs an image of a flat object of known shape and size is identified on each photograph. The body part area is isolated from the background in the image, and the area of an arbitrary body that does not belong to the projection of the human body part is cut out. Also disclosed is a method for searching an image of a flat object of known shape and size, its projection, and the camera location and orientation, over the course of which the predicted image of the flat object is compared to the real on. Here, the particle dynamics technique is used for isolating a human body part from the image background.Type: GrantFiled: April 3, 2019Date of Patent: April 16, 2024Assignee: LIMITED LIABILITY COMPANY “FITTIN”Inventors: Andrej Anatolevich Revkov, Grigorij Vladimirovich Chujko, Ivan Sergeevich Shedrin, Egor Andreevich Revkov, Natalja Demjanovna Grishko, Viktor Valerevich Posmetev, Dmitry Mikhailovich Kanin
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Patent number: 11954870Abstract: Provided are a three-dimensional reconstruction method, apparatus and system of a dynamic scene, a server and a medium. The method includes: acquiring multiple continuous depth image sequences of the dynamic scene, where the multiple continuous depth image sequences are captured by an array of drones equipped with depth cameras; fusing the multiple continuous depth image sequences to establish a three-dimensional reconstruction model of the dynamic scene; obtaining target observation points of the array of drones through calculation according to the three-dimensional reconstruction model and current poses of the array of drones; and instructing the array of drones to move to the target observation points to capture, and updating the three-dimensional reconstruction model according to multiple continuous depth image sequences captured by the array of drones at the target observation points.Type: GrantFiled: April 23, 2019Date of Patent: April 9, 2024Assignee: TSINGHUA UNIVERSITYInventors: Lu Fang, Mengqi Ji, Yebin Liu, Lan Xu, Wei Cheng, Qionghai Dai
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Patent number: 11954856Abstract: Techniques are provided for determining a cell count within a whole slide pathology image. The image is segmented using a global threshold value to define a tissue area. A plurality of patches comprising the tissue area are selected. Stain intensity vectors are determined within the plurality of patches to generate a stain intensity image. The stain intensity image is iteratively segmented to generate a cell mask using a local threshold value that is and gradually reduced after each iteration. A chamfer distance transform is applied to the cell mask to generate a distance map. Cell seeds are determined on the distance map. Cell segments are determined using a watershed transformation, and a whole cell count is calculated for the plurality of patches based on the cell segments. A client device may be configured for real-time cell counting based on the whole cell count.Type: GrantFiled: August 4, 2022Date of Patent: April 9, 2024Assignee: NantOmics, LLCInventors: Bing Song, Liudmila A Beziaeva, Shahrooz Rabizadeh
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Patent number: 11956412Abstract: Various embodiments of the present disclosure relate generally to systems and methods for drone-based systems and methods for capturing a multi-media representation of an entity. In some embodiments, the multi-media representation is digital, or multi-view, or interactive, and/or the combinations thereof. According to particular embodiments, a drone having a camera is controlled or operated to obtain a plurality of images having location information. The plurality of images, including at least a portion of overlapping subject matter, are fused to form multi-view interactive digital media representations.Type: GrantFiled: March 9, 2020Date of Patent: April 9, 2024Assignee: Fyusion, Inc.Inventors: Stefan Johannes Josef Holzer, Stephen David Miller, Radu Bogdan Rusu
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Patent number: 11934459Abstract: A ripple push method for a graph cut includes: obtaining an excess flow ef(v) of a current node v; traversing four edges connecting the current node v in top, bottom, left and right directions, and determining whether each of the four edges is a pushable edge; calculating, according to different weight functions, a maximum push value of each of the four edges by efw=ef(v)*W, where W denotes a weight function; and traversing the four edges, recording a pushable flow of each of the four edges, and pushing out a calculated flow. The ripple push method explores different push weight functions, and significantly improves the actual parallelism of the push-relabel algorithm.Type: GrantFiled: September 22, 2021Date of Patent: March 19, 2024Assignee: SHANGHAITECH UNIVERSITYInventors: Guangyao Yan, Xinzhe Liu, Yajun Ha, Hui Wang
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Patent number: 11935236Abstract: Provided are a method and an apparatus for interlocking a lesion location between a 2D medical image and 3D tomosynthesis images including a plurality of 3D image slices.Type: GrantFiled: January 4, 2023Date of Patent: March 19, 2024Assignee: Lunit Inc.Inventors: Jung Hee Jang, Do Hyun Lee, Woo Suk Lee, Rae Yeong Lee
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Patent number: 11922705Abstract: Apparatuses, systems and methods are provided for generating and transmitting data representative of a vehicle operation mode. More particularly, apparatuses, systems and methods are provided for generating data representative of a vehicle operation mode based on vehicle interior image data.Type: GrantFiled: December 17, 2021Date of Patent: March 5, 2024Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANYInventors: Kenneth J. Sanchez, Aaron Scott Chan
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Patent number: 11908134Abstract: A method for adaptive treatment planning is provided. The method may include obtaining a planning image volume of a subject, a treatment image volume of the subject, and a first treatment plan related to the planning image volume of the subject, each of the planning image volume and the treatment image volume including an ROI of the subject. The method may also include registering the planning image volume and the treatment image volume, and determining a first contour of the ROI in the registered planning image volume and a second contour of the ROI in the registered treatment image volume. The method may also include evaluating whether an error exists in at least one of the registration or the contour determination based on the first contour and the second contour, and determining a second treatment plan with respect to the treatment image volume based on the evaluation result.Type: GrantFiled: June 6, 2022Date of Patent: February 20, 2024Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.Inventors: Supratik Bose, Jonathan Maltz, Johannes Stahl
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Patent number: 11908156Abstract: Described herein is a detector for determining a position of at least one object. The detector includes at least one sensor element having a matrix of optical sensors, the optical sensors each having a light-sensitive area, wherein the sensor element is configured to determine a reflection image of the object. The detector also includes an evaluation device configured to select a reflection feature of the reflection image, and determine a distance estimate of the selected reflection feature of the reflection image by optimizing at least one blurring function fa, wherein the distance estimate is given by a longitudinal coordinate z and an error interval ±?. The evaluation device is adapted to determine at least one displacement region in at least one reference image corresponding to the distance estimate, and to match the selected reflection feature with at least one reference feature within the displacement region.Type: GrantFiled: January 8, 2020Date of Patent: February 20, 2024Assignee: TRINAMIX GMBHInventors: Michael Eberspach, Christian Lennartz, Robert Send, Patrick Schindler, Peter Schillen, Ingmar Bruder
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Patent number: 11908136Abstract: A respiratory status classifying method is for classifying as one of at least two respiratory statuses and includes an original physiological parameter inputting step, an original chest image inputting step, a characteristic physiological parameter generating step, a characteristic chest image generating step, a training step and a classifier generating step. The characteristic chest image generating step includes processing at least a part of the original chest images, segmenting images of a left lung, a right lung and a heart from each of the original chest images that are processed, and enhancing image data of the images being segmented, so as to generate a plurality of characteristic chest images. The training step includes training two respiratory status classifiers using a plurality of characteristic physiological parameters and the characteristic chest images by at least one machine learning algorithm.Type: GrantFiled: September 27, 2022Date of Patent: February 20, 2024Assignees: TAICHUNG VETERANS GENERAL HOSPITAL, TUNGHAI UNIVERSITYInventors: Ming-Cheng Chan, Kai-Chih Pai, Wen-Cheng Chao, Yu-Jen Huang, Chieh-Liang Wu, Min-Shian Wang, Chien-Lun Liao, Ta-Chun Hung, Yan-Nan Lin, Hui-Chiao Yang, Ruey-Kai Sheu, Lun-Chi Chen