Tomography (e.g., Cat Scanner) Patents (Class 382/131)
  • Patent number: 11452566
    Abstract: Preoperative planning techniques are described such as for hip surgery. Rather than pre-operatively planning by reorienting a model of the boundaries of the acetabulum derived from a 3D medical image, the proposed solution reorients portions of the 3D medical image itself and simulates one or more x-ray images using the reoriented 3D data. Optionally, simulated x-ray(s) of the un-modified CT scan may also be generated for comparison purposes. The user then measures acetabular metrics on the simulated x-ray(s) in order to determine the radiographic outcomes that a given magnitude and direction of reorientation would achieve. By iteratively selecting a reorientation and measuring the simulated x-ray(s), an optimal reorientation plan is determined by the user.
    Type: Grant
    Filed: December 12, 2019
    Date of Patent: September 27, 2022
    Assignee: INTELLIJOINT SURGICAL INC.
    Inventors: Justin Aaron Michael, Joseph Arthur Schipper, Andre Novomir Hladio
  • Patent number: 11455754
    Abstract: A method for processing breast tissue image data includes processing image data of a patient's breast tissue to generate a high-dimensional grid depicting one or more high-dimensional objects in the patient's breast tissue; determining a probability or confidence of each of the one or more high-dimensional objects depicted in the high-dimensional grid; and modifying one or more aspects of at least one of the one or more high-dimensional objects based at least in part on its respective determined probability or confidence to thereby generate a lower-dimensional format version of the one or more high-dimensional objects. The method may further include displaying the lower-dimensional format version of the one or more high-dimensional objects in a synthesized image of the patient's breast tissue.
    Type: Grant
    Filed: March 28, 2018
    Date of Patent: September 27, 2022
    Assignee: Hologic, Inc.
    Inventors: Haili Chui, Xiaomin Liu, Xiangwei Zhang
  • Patent number: 11452491
    Abstract: A method for exposure control setup for a volume radiographic imaging apparatus obtains a reconstructed image volume of a subject acquired from the imaging apparatus using a set of x-ray technique settings. An image slice from the reconstructed image volume displays in at least a first rendering having a first corresponding noise factor and a second rendering having a second corresponding noise factor, different from the first noise factor. An operator instruction selects one of the at least first and second renderings and stores the corresponding noise factor for the set of x-ray technique settings. An automatic exposure control of the imaging apparatus is configured according to the stored noise factor.
    Type: Grant
    Filed: September 17, 2020
    Date of Patent: September 27, 2022
    Assignee: Carestream Health, Inc.
    Inventor: Karin Toepfer
  • Patent number: 11445993
    Abstract: A method for processing breast tissue image data includes obtaining image data of a patient's breast tissue, processing the image data to generate a set of image slices, the image slices collectively depicting the patient's breast tissue; feeding image slices of the set through each of a plurality of object-recognizing modules, each of the object-recognizing modules being configured to recognize a respective type of object that may be present in the image slices; combining objects recognized by the respective object-recognizing modules to generate a synthesized image of the patient's breast tissue; and displaying the synthesized image.
    Type: Grant
    Filed: March 28, 2018
    Date of Patent: September 20, 2022
    Assignee: Hologic, Inc.
    Inventors: Haili Chui, Liyang Wei, Jun Ge, Nikolaos Gkanatsios
  • Patent number: 11448718
    Abstract: The present disclosure is directed to systems and methods for visualizing low-intensity pathologies or anatomical structures. The method can include applying, via a MRI machine, an RF pulse configured to suppress the imaging of fat in the subject and acquiring, via the MRI machine, an image of the subject. A subtle intensity graduating homomorphic transform is applied to the acquired image to provide improved visualized of the low-intensity pathology or anatomical structure. The resulting transformed image can be output to the user.
    Type: Grant
    Filed: February 22, 2021
    Date of Patent: September 20, 2022
    Assignee: Siemens Healthcare GmbH
    Inventors: Venkata Veerendranadh Chebrolu, Eric Stinson, Peter Kollasch
  • Patent number: 11449800
    Abstract: Management of machine-learned data between machine-learning devices is facilitated by a processor(s) obtaining a machine-learned data set of a first device, with the machine-learned data set of the first device being categorized machine-learned information. The processor(s) determines one or more device hardware requirements to use the machine-learned data set, and based on receiving a request to provide the machine-learned data set to a second device, determines whether the second device meets the one or more device hardware requirements to use the machine-learned data set of the first device. Based on determining that the second device meets the one or more device hardware requirements, the processor(s) provides the machine-learned data set of the first device to the second device to provide the categorized machine-learned information of the first device to the second device for use by the second device.
    Type: Grant
    Filed: February 24, 2020
    Date of Patent: September 20, 2022
    Assignee: Kyndryl, Inc.
    Inventors: Cesar Augusto Rodriguez Bravo, Kevin Jimenez Mendez, Sarbajit K. Rakshit, Craig M. Trim
  • Patent number: 11445994
    Abstract: For non-invasive EP mapping, a sparse number of electrodes (e.g., 10 in a typical 12-lead ECG exam setting) are used to generate an EP map without requiring preoperative 3D image data (e.g. MR or CT). An imager (e.g., a depth camera) captures the surface of the patient and may be used to localize electrodes in any positioning on the patient. Two-dimensional (2D) x-rays, which are commonly available, and the surface of the patient are used to segment the heart of the patient. The EP map is then generated from the surface, heart segmentation, and measurements from the electrodes.
    Type: Grant
    Filed: January 24, 2018
    Date of Patent: September 20, 2022
    Assignee: Siemens Healthcare GmbH
    Inventors: Tommaso Mansi, Tiziano Passerini, Puneet Sharma, Terrence Chen, Ahmet Tuysuzoglu, Shun Miao, Alexander Brost
  • Patent number: 11449759
    Abstract: For registration of medical images with deep learning, a neural network is designed to include a diffeomorphic layer in the architecture. The network may be trained using supervised or unsupervised approaches. By enforcing the diffeomorphic characteristic in the architecture of the network, the training of the network and application of the learned network may provide for more regularized and realistic registration.
    Type: Grant
    Filed: December 27, 2018
    Date of Patent: September 20, 2022
    Assignees: Siemens Heathcare GmbH, Institut National de Recherche en Informatique et en Automatique
    Inventors: Julian Krebs, Herve Delingette, Nicholas Ayache, Tommaso Mansi, Shun Miao
  • Patent number: 11436738
    Abstract: The present application belongs to the technical field of oil and gas exploration and development, and specifically provides a rock stratification identification method and apparatus, a device and a storage medium. The method includes: acquiring multiple sets of CT slice images of a rock, where each set of the CT slice images include a first CT slice image and a second CT slice image, the first CT slice image and the second CT slice image are acquired by scanning a same depth section of the rock, scanning energy corresponding to the first CT slice image is different form scanning energy corresponding to the second CT slice image; determining multiple dual energy indices of the rock according to the multiple sets of CT slice images; and determining a rock stratification according to the multiple dual energy indices, which can identify stratification of a large-scale rock by using CT.
    Type: Grant
    Filed: April 25, 2022
    Date of Patent: September 6, 2022
    Assignee: INSTITUTE OF GEOLOGY AND GEOPHYSICS, CHINESE ACADEMY OF SCIENCES
    Inventors: Jin Hao, Jijin Yang, Guoliang Li, Runqing Zhou
  • Patent number: 11436765
    Abstract: Methods and systems for computed tomography provide advances in efficiency. The methods operating within the parallel-beam geometry, rather than a divergent beam geometry, for the majority of the operations. In back projection methods perform digital image coordinate transformations on selected intermediate-images, the parameters of one or more coordinate transformations being chosen such that Fourier spectral support of the intermediate-image is modified so that a region of interest has an increased extent along one or more coordinate direction and the aggregates of the intermediate-images can be represented with a desired accuracy by sparse samples.
    Type: Grant
    Filed: November 15, 2019
    Date of Patent: September 6, 2022
    Assignee: InstaRecon
    Inventors: Ashvin K George, Jeffrey Brokish, Yoram Bresler
  • Patent number: 11436724
    Abstract: A lesion detection and classification artificial intelligence (AI) pipeline comprising a plurality of trained machine learning (ML) computer models is provided. First ML model(s) process an input volume of medical images (VOI) to determine whether VOI depicts a predetermined amount of an anatomical structure. The AI pipeline determines whether criteria, such as a predetermined amount of an anatomical structure of interest being depicted in the input volume, are satisfied by output of the first ML model(s). If so, lesion processing operations are performed including: second ML modal(s) processing the VOI to detect lesions which correspond to the anatomical structure of interest; third ML model(s) performing lesion segmentation and combining of lesion contours associated with a same lesion; and fourth ML models processing the listing of lesions to classify the lesions. The AI pipeline outputs the listing of lesions and the classifications for downstream computing system processing.
    Type: Grant
    Filed: October 30, 2020
    Date of Patent: September 6, 2022
    Assignee: International Business Machines Corporation
    Inventors: Giovanni John Jacques Palma, Pedro Luis Esquinas Fernandez, Paul Dufort, Thomas Binder, Arkadiusz Sitek, Dana Levanony, Yi-Qing Wang, Omid Bonakdar Sakhi
  • Patent number: 11426281
    Abstract: A method of constructing a patient-specific orthopedic implant comprising: (a) comparing a patient-specific abnormal bone model, derived from an actual anatomy of a patient's abnormal bone, with a reconstructed patient-specific bone model, also derived from the anatomy of the patient's bone, where the reconstructed patient-specific bone model reflects a normalized anatomy of the patient's bone, and where the patient-specific abnormal bone model reflects an actual anatomy of the patient's bone including at least one of a partial bone, a deformed bone, and a shattered bone, wherein the patient-specific abnormal bone model comprises at least one of a patient-specific abnormal point cloud and a patient-specific abnormal bone surface model, and wherein the reconstructed patient-specific bone model comprises at least one of a reconstructed patient-specific point cloud and a reconstructed patient-specific bone surface model; (b) optimizing one or more parameters for a patient-specific orthopedic implant to be mounte
    Type: Grant
    Filed: October 15, 2014
    Date of Patent: August 30, 2022
    Inventor: Mohamed Rashwan Mahfouz
  • Patent number: 11430574
    Abstract: Two or more learning images generated for a first subject or a second subject and one or more correct answer images generated for the second subject or a third subject are received. In a case where pixel values of corresponding pixels of the two or more learning images are synthesized by using a synthesis parameter value, the parameter value at which the synthesized pixel values are close to a pixel value of a corresponding pixel of the correct answer image is obtained. An image generated for the first subject and having the same type as the two or more learning images is received as an examination target image. A synthesized image desired by a user is generated by synthesizing pixel values of corresponding pixels of the two or more examination target images by using the synthesis parameter value.
    Type: Grant
    Filed: March 22, 2019
    Date of Patent: August 30, 2022
    Assignee: FUJIFILM HEALTHCARE CORPORATION
    Inventors: Tomoki Amemiya, Yo Taniguchi, Suguru Yokosawa, Hisaaki Ochi
  • Patent number: 11430087
    Abstract: Techniques for representing a scene or map based on statistical data of captured environmental data are discussed herein. In some cases, the data (such as covariance data, mean data, or the like) may be stored as a multi-resolution voxel space that includes a plurality of semantic layers. In some instances, individual semantic layers may include multiple voxel grids having differing resolutions. Multiple multi-resolution voxel spaces may be merged to generate combined scenes based on detected voxel covariances at one or more resolutions.
    Type: Grant
    Filed: December 20, 2019
    Date of Patent: August 30, 2022
    Assignee: Zoox, Inc.
    Inventors: Michael Carsten Bosse, Patrick Blaes, Derek Adams, Brice Rebsamen
  • Patent number: 11426094
    Abstract: Methods for reconstructing images of a subject from data acquired with a medical imaging system, such as a magnetic resonance imaging (“MRI”) system, are described. In general, the image reconstructions implement a primal-dual optimization strategy that, in each iteration, stochastically updates a dual variable.
    Type: Grant
    Filed: April 6, 2018
    Date of Patent: August 30, 2022
    Assignee: Mayo Foundation for Medical Education and Research
    Inventor: Joshua D. Trzasko
  • Patent number: 11430111
    Abstract: The invention relates, in part, to systems and methods for scoring a sample containing tumor tissue from a cancer patient. The score obtained from these methods can be indicative of a likelihood that a patient may respond positively to immunotherapy. The invention also relates, in part, to methods of deriving a value for % biomarker positivity (PBP) for all cells or optionally, one or more subsets thereof, present in a field of view of a tissue sample from a cancer patient. The values for PBP can be indicative of a patient's response to immunotherapy.
    Type: Grant
    Filed: March 18, 2020
    Date of Patent: August 30, 2022
    Assignee: Novartis AG
    Inventors: Brian Little, Jennifer Bordeaux
  • Patent number: 11430162
    Abstract: A method may include obtaining a first set of projection data with respect to a first dose level; reconstructing, based on the first set of projection data, a first image; determining a second set of projection data based on the first set of projection data, the second set of projection data relating to a second dose level that is lower than the first dose level; reconstructing a second image based on the second set of projection data; and training a first neural network model based on the first image and the second image. In some embodiments, the trained first neural network model may be configured to convert a third image to a fourth image, the fourth image exhibiting a lower noise level and corresponding to a higher dose level than the third image.
    Type: Grant
    Filed: July 27, 2020
    Date of Patent: August 30, 2022
    Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.
    Inventors: Qianlong Zhao, Guotao Quan, Xiang Li
  • Patent number: 11423554
    Abstract: The disclosure relates to a computer-implemented method for the provision of a transformation instruction for registering a 2D image with a 3D image. The method includes: receiving the 2D image and the 3D image; generating input data based on the 2D image having contour pixels and the 3D image having contour voxels; applying a trained function to the input data for identification of contour pixels of the 2D image and contour voxels of the 3D image, wherein at least one parameter of the trained function is adjusted based on a comparison of training contour pixels with comparison contour pixels and a comparison of training contour voxels corresponding thereto with comparison contour voxels; determining the transformation instruction based on the identified contour pixels of the 2D image and the contour voxels corresponding thereto of the 3D image for registering the 2D image with the 3D image; and providing the transformation instruction.
    Type: Grant
    Filed: August 17, 2020
    Date of Patent: August 23, 2022
    Assignee: Siemens Healthcare GmbH
    Inventors: Anja Borsdorf, Roman Schaffert, Jian Wang, Markus Weiss
  • Patent number: 11423543
    Abstract: Methods and apparatus for evaluating an impact of injury to brain networks or regions are provided. The method comprises receiving MRI data of a brain of an individual, including a first volumetric dataset recorded using first imaging parameters and a second volumetric dataset recorded using second imaging parameters, combining, on a voxel-by-voxel basis, first MRI data based on the first volumetric dataset and second MRI data based on the second volumetric dataset to produce a volumetric injury map, performing a structural-functional analysis of one or more brain networks or regions by refining the volumetric injury map using a volumetric eloquence map that specifies eloquent brain tissue within the one or more brain networks or regions to determine an impact of injury within the one or more brain networks or regions, and displaying a visualization of the determined impact of injury within the one or more brain networks or regions.
    Type: Grant
    Filed: April 16, 2020
    Date of Patent: August 23, 2022
    Assignee: Voxel AI, Inc.
    Inventors: Christopher I. Murray, Andrew N. Ross, Douglas J. Cook
  • Patent number: 11412993
    Abstract: A system for scanning anatomical structures and for visualizing the scanning result, wherein the system includes an intraoral scanner, which intraorally captures an image of the anatomical structures, an extraoral detection unit, which detects a spatial position of the intraoral scanner relative to an observer or a person conducting the scan, and a computing unit, which, during the scanning procedure, connects the scanner with a screen and the detection unit and generates a scanning result based on the intraorally captured image of the anatomical structures and the detected spatial position of the intraoral scanner relative to the observer, and which, during pauses in the scanning procedure, estimates the position, orientation and scaling of the anatomical structures and, as a scanning result, generates an image of the anatomical structures corresponding to the estimation, and wherein the screen displays the scanning result generated by the computing unit.
    Type: Grant
    Filed: July 8, 2016
    Date of Patent: August 16, 2022
    Assignee: DENTSPLY SIRONA Inc.
    Inventors: Severin Stalder, Markus Berner, Konrad Klein
  • Patent number: 11412943
    Abstract: Methods and systems suitable for obtaining information related to at least one of: respiration rate, heart rate, respiration rate variability, heart rate variability, temporal characteristics of at least a part of a heartbeat, temporal characteristics of at least a part of a respiration cycle, or a duration of a time interval of propagation of a blood pressure pulse from a first point or area or part of a body to a second point or area or part of the body, in a non-contact fashion.
    Type: Grant
    Filed: April 5, 2021
    Date of Patent: August 16, 2022
    Inventor: Olesya Chornoguz
  • Patent number: 11412925
    Abstract: An ophthalmic imaging apparatus includes an OCT optical system that detects an interference signal between measurement light with which a subject eye is irradiated and reference light, and acquires OCT data of the subject eye by processing the interference signal, a scanner that scans with the measurement light on a scanning line on the subject eye, and a processor. The processor determines whether or not the OCT data acquired on the scanning line is proper, controls the scanner based on a determination result to change the scanning line for the measurement light to the next scanning line, and interpolates an alternative to OCT data determined not to be proper, based on OCT data corresponding to scanning lines around a scanning line on which the OCT data determined not to be proper is acquired.
    Type: Grant
    Filed: April 30, 2019
    Date of Patent: August 16, 2022
    Assignee: NIDEK CO., LTD.
    Inventor: Akira Kataoka
  • Patent number: 11417130
    Abstract: In certain embodiments, training of a prediction model (e.g., recognition or other prediction model) may be facilitated via a training set based on one or more logos or other graphics. In some embodiments, graphics information associated with a logo or graphic (e.g., to be recognized via a recognition model) may be obtained. Media items (e.g., images, videos, etc.) may be generated based on the graphics information, where each of the media items includes (i) content other than the logo and (ii) a given representation of the logo integrated with the other content. In some embodiments, the media items may be processed via the recognition model to generate predictions (related to recognition of the logo or graphic for the media items). The recognition model may be updated based on (i) the generated predictions and (ii) corresponding reference indications (related to recognition of the logo for the media items).
    Type: Grant
    Filed: August 20, 2020
    Date of Patent: August 16, 2022
    Assignee: Clarifai, Inc.
    Inventors: David Joshua Eigen, Matthew Zeiler
  • Patent number: 11417034
    Abstract: An imaging system (102) includes a radiation source (112) configured to emit X-ray radiation, a detector array (114) configured to detect X-ray radiation and generate a signal indicative thereof, an a reconstructor (116) configured to reconstruct the signal and generate non-spectral image data. The imaging system further includes a processor (124) configured to process the non-spectral image data using a deep learning regression algorithm to estimate spectral data from a group consisting of spectral basis components and a spectral image.
    Type: Grant
    Filed: January 7, 2019
    Date of Patent: August 16, 2022
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Liran Goshen, Mordechay Pinchas Freiman
  • Patent number: 11408836
    Abstract: A method of inspecting a component using computed tomography is described, the method comprising the steps of: (a) providing a computed tomography (CT) scanner; (b) providing a target component; (c) reviewing the geometry of the component; (d) estimating the best component orientation; (e) orienting the component; (f) scanning the component with the CT scanner; (g) loading CT scan data into 3D image software; (h) registering the best CT scan data; (i) determining acceptable and unacceptable regions of CT scan data; (j) determining additional component orientations; (k) repeating steps (e) through (i) until all regions of CT scan data for the component are acceptable; and (l) creating a merged volume of acceptable CT scan data.
    Type: Grant
    Filed: February 28, 2020
    Date of Patent: August 9, 2022
    Assignee: General Electric Company
    Inventors: Patrick Joseph Howard, John Charles Janning, Andrew Joseph Galish, Kevin Layne Moermond
  • Patent number: 11410349
    Abstract: A respiratory motion estimation method (30) includes reconstructing emission imaging data (22) to generate a reconstructed image (50). The emission imaging data comprises lines of response (LORs) acquired by a positron emission tomography (PET) imaging device or projections acquired by a gamma camera. One or several assessment volumes (66) are defined within the reconstructed images. The emission imaging data are binned into time interval bins based on time stamps of the LORs or projections. A displacement versus time curve (70) is generated by computing, for each time interval bin, a statistical displacement metric of the LORs or projections that both are binned in the time interval bin and intersect the motion assessment volume. The motion assessment volume may be selected to overlap a motion assessment image feature (60) identified in the reconstructed image.
    Type: Grant
    Filed: March 19, 2018
    Date of Patent: August 9, 2022
    Assignees: KONINKLIJKE PHILIPS N.V., THE JOHNS HOPKINS UNIVERSITY
    Inventors: Benjamin Tsui, Patrick Olivier
  • Patent number: 11410304
    Abstract: A non-label diagnosis apparatus for a hematologic malignancy may include a 3-D refractive index cell imaging unit configured to generate a 3-D refractive index slide image of a blood smear specimen by capturing a 3-D refractive index image in the form of the blood smear specimen in which blood (including a bone-marrow or other body fluids) of a patient has been smeared on a slide glass, an ROI detection unit configured to sample a suspected cell segment in the blood smear specimen based on the 3-D refractive index slide image and to determine, as ROI patches, cells determined as abnormal cells, and a diagnosis unit configured to determine a sub-classification of a cancer cell corresponding to each of the ROI patches using a cancer cell sub-classification determination model constructed based on a deep learning algorithm and to generate hematologic malignancy diagnosis results by gathering sub-classification results of the ROI patches.
    Type: Grant
    Filed: June 12, 2020
    Date of Patent: August 9, 2022
    Assignee: TOMOCUBE, INC.
    Inventors: YongKeun Park, Donghun Ryu, Young Seo Kim, Kihyun Hong, Hyun-Seok Min
  • Patent number: 11409786
    Abstract: The present disclosure pertains to computer-assisted search of image slices. In some embodiments, an image slice having a detected finding (and representing a cross section of at least a portion of an individual) may be determined. A search space may be reduce to a subset of image slices respectively representing a cross section corresponding to the cross section represented by the determined image slice. The search space reduction may comprise filtering a set of image slices based on the cross section represented by the determined image slice. Image slice information related to the determined image slice and related one or more image slices (of the image slices subset) may be obtained based on the search space reduction. A determination of whether indications of the detected finding exist in the image slices (of the image slices subset) may be effectuated based on the image slice information.
    Type: Grant
    Filed: April 20, 2018
    Date of Patent: August 9, 2022
    Assignees: KONINKLIJKE PHILIPS N.V., THE UNIVERSITY OF CHICAGO
    Inventors: Igor Trilisky, Merlijn Sevenster, Amir Mohammad Tahmasebi Maraghoosh, Paul Joseph Chang
  • Patent number: 11403755
    Abstract: The medical information display apparatus includes a first data acquisition unit that acquires a table showing relevance between at least one item included in clinical diagnostic information on dementia and a brain area, a second data acquisition unit that acquires clinical diagnostic information on dementia of a subject, an image acquisition unit that receives an input of a three-dimensional brain image, a brain area division unit that divides the three-dimensional brain image of the subject, an image analysis unit that calculates an analysis value for each brain area, an operation unit that selects one item among items included in the clinical diagnostic information of the subject, a display unit, and a display controller that specifies a brain area corresponding to the one item selected by the operation unit and displays brain area specifying information for specifying the specified brain area and an analysis value of the brain area.
    Type: Grant
    Filed: February 10, 2020
    Date of Patent: August 2, 2022
    Assignee: FUJIFILM Corporation
    Inventor: Caihua Wang
  • Patent number: 11403641
    Abstract: Techniques are described relating to analyzing user transactions based on time of day of occurrence, and using time of a day as a factor in determining whether a new transaction should be allowed or disallowed. People may have particular tendencies to engage in transaction at certain times of a day. When a new transaction occurs that does not fit a previous pattern, this can indicate someone else has gained access to the account. Past times of transactions can be transformed to a two-dimensional representation that avoids discontinuity. A smoothed probability distribution can indicate a likelihood of whether a new transaction fits previous patterns. If a new transaction is unlikely due to time of day, the new transaction might be denied/prevented from completing. Denial of the transaction may also be based on additional factors besides the time of day.
    Type: Grant
    Filed: June 28, 2019
    Date of Patent: August 2, 2022
    Assignee: PayPal, Inc.
    Inventors: Itay Margolin, Shlomit Plavner, Ofri Raviv
  • Patent number: 11403763
    Abstract: An image segmentation method is provided for a computer device. The method includes obtaining a plurality of sample images, calling an initial model to input the plurality of sample images into the initial model and to train the initial model based on the plurality of sample images to obtain an image segmentation model and, based on the initial model, determining a number of image segmentation modules according to a number of types of pixels of the plurality of sample images. Different image segmentation modules are used for segmenting different regions of an image. The method also includes calling the image segmentation model in response to obtaining a first image to be segmented, and segmenting the first image by using the image segmentation model based on a plurality of image segmentation modules, to output a second image. Computer device and non-transitory computer-readable storage medium counterparts are also contemplated.
    Type: Grant
    Filed: September 30, 2020
    Date of Patent: August 2, 2022
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventor: Sihong Chen
  • Patent number: 11403752
    Abstract: In the field of obesity related disease, identification of patients with nonalcoholic steatohepatitis (NASH) would be useful to counsel them more intensively on diet and lifestyle changes and propose new pharmacological treatments. As a consequence, the inventors worked on a method for post-processing images of a region of interest of the liver for reconstructing a map of the internal magnetic susceptibility by using a Bayesian regularization approach to inverse the internal magnetic field. Such method can be implemented on computer and provides better results than other known methods for obesity related disease. This method may be applied for predicting that a subject is at risk of suffering from such disease, diagnosing a disease, identifying a therapeutic or a biomarker and screening compounds useful as a medicine.
    Type: Grant
    Filed: September 12, 2017
    Date of Patent: August 2, 2022
    Assignees: INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE (INSERM), UNIVERSITE PARIS DIDEROT—PARIS 7, CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE, ASSISTANCE PUBLIQUE—HOPITAUX DE PARIS, UNIVERSITE DE VERSAILLES SAINT-QUENTIN-EN-YVELINES
    Inventors: Benjamin Leporq, Simon Lambert, Bernard Van Beers
  • Patent number: 11399779
    Abstract: Embodiments discussed herein facilitate system-independent quantitative perfusion measurements. One example embodiment is a method, comprising: accessing 4D (Four Dimensional) perfusion imaging data of a tissue, where the 4D perfusion imaging data comprises a plurality of 3D (Three Dimensional) stacks of perfusion imaging data over time; performing at least one of artifact reduction or post-processing on the 4D perfusion image data to generate processed 4D perfusion image data; computing one or more quantitative perfusion parameters for the tissue based at least in part on the processed 4D perfusion image data; and outputting a visual representation of the one or more quantitative perfusion parameters.
    Type: Grant
    Filed: March 18, 2019
    Date of Patent: August 2, 2022
    Assignee: Case Western Reserve University
    Inventors: David L. Wilson, Brendan L. Eck, Jacob Levi, Hao Wu, Rachid Fahmi
  • Patent number: 11398013
    Abstract: A novel GAN is trained to predict high fidelity synthetic images based on low quality input dental images. The GAN further takes input anatomic masks as inputs with each image, the masks labeling pixels of the image corresponding to dental features. The GAN includes an encoder-decoder generator with semantically aware normalization between stages of the decoder according to the masks. The predicted synthetic dental image and an unpaired dental image are evaluated by a first discriminator of the GAN to obtain a realism estimate. The synthetic image and an unpaired dental image may be processed using a pretrained dental encoder to obtain a perceptual loss. The GAN is trained with the realism estimate, perceptual loss, and L1 loss. Utilization may include inputting noisy, low contrast, low resolution, blurry, or degraded dental images and outputting high resolution, denoised, high contrast, deobfuscated, and sharp dental images.
    Type: Grant
    Filed: September 25, 2020
    Date of Patent: July 26, 2022
    Assignee: Retrace Labs
    Inventors: Vasant Kearney, Hamid Hekmatian, Ali Sadat
  • Patent number: 11397230
    Abstract: Methods for correcting a non-uniform power response of a radiofrequency (“RF”) transmit coil used in magnetic resonance imaging (“MRI”) are described. Transmit power response data for an RF transmit coil are processed to compute RF amplitude scaling factors for the RF transmit coil as a function of transmit frequency offset. The RF amplitude scaling factors can be used to correct transmitted RF power, and thus flip angle, to be more uniform over a range of transmit frequency offsets, as may be encountered when imaging with lower field MRI systems or MRI systems with high strength or asymmetric gradients.
    Type: Grant
    Filed: June 18, 2020
    Date of Patent: July 26, 2022
    Assignee: SYNAPTIVE MEDICAL INC.
    Inventors: Jeff Alan Stainsby, Chad Tyler Harris, Andrew Thomas Curtis, Alexander Gyles Panther
  • Patent number: 11398023
    Abstract: A system according to the present disclosure may include a display unit, a processor communicatively coupled to the display unit and to an ultrasound imaging apparatus for generating an image from ultrasound data representative of a bodily structure and fluid flowing within the bodily structure. The processor may be configured to generate vector field data including axial and lateral (or transverse) velocity components of the fluid flowing within the bodily structure, calculate velocity profiles for a plurality of locations along a wall of the bodily structure based on the axial and lateral velocity components, generate wall shear stress (WSS) visualization data based, at least in part, on the velocity profiles, and cause the display unit to concurrently display the image including the bodily structure overlaid with the WSS visualization data.
    Type: Grant
    Filed: May 4, 2018
    Date of Patent: July 26, 2022
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Shiying Wang, Sheng-Wen Huang, Hua Xie, Francois Guy Gerard Marie Vignon, Keith William Johnson, Liang Zhang
  • Patent number: 11395642
    Abstract: This disclosure relates generally to bio-signal detection, and more particularly to method and system for non-contact bio-signal detection using ultrasound signals. In an embodiment, the method includes acquiring an in-phase I(t) baseband signal and a quadrature Q(t) baseband signal associated with an ultrasound signal directed from the sensor assembly towards the target. Magnitude and phase signals are calculated from the in-phase and quadrature baseband signals, and are filtered by passing through a band pass filter associated with a predefined frequency range to obtain filtered magnitude and phase signals. Fast Fourier Transformation (FFT) of the filtered magnitude and phase signals is performed to identify frequency of dominant peaks of spectrum of the magnitude and phase signals in the ultrasound signal. Value of the bio-signal associated with the target is determined based on weighted values of the frequency of the dominant peaks of the magnitude and phase signals.
    Type: Grant
    Filed: March 24, 2020
    Date of Patent: July 26, 2022
    Assignee: TATA CONSULTANCY SERVICES LIMITED
    Inventors: Anwesha Khasnobish, Raj Rakshit, Arijit Sinharay, Tapas Chakravarty
  • Patent number: 11395599
    Abstract: The present invention discloses methods suitable for obtaining information related to at least one physiologic parameter of a person belonging to the group comprising respiration rate, heart rate, respiration rate variability, heart rate variability, temporal characteristics of at least a part of a heartbeat, and temporal characteristics of at least a part of a respiration cycle in a non-contact fashion. The present invention also discloses systems suitable for obtaining information related to at least one physiologic parameter of a person belonging to said group of physiologic parameters in a non-contact fashion.
    Type: Grant
    Filed: January 20, 2021
    Date of Patent: July 26, 2022
    Inventor: Olesya Chornoguz
  • Patent number: 11389247
    Abstract: A method for implementing a dynamic three-dimensional lung map view for navigating a probe inside a patient's lungs includes loading a navigation plan into a navigation system, the navigation plan including a planned pathway shown in a 3D model generated from a plurality of CT images, inserting the probe into a patient's airways, registering a sensed location of the probe with the planned pathway, selecting a target in the navigation plan, presenting a view of the 3D model showing the planned pathway and indicating the sensed location of the probe, navigating the probe through the airways of the patient's lungs toward the target, iteratively adjusting the presented view of the 3D model showing the planned pathway based on the sensed location of the probe, and updating the presented view by removing at least a part of an object forming part of the 3D model.
    Type: Grant
    Filed: October 12, 2020
    Date of Patent: July 19, 2022
    Assignee: COVIDIEN LP
    Inventors: Oren P. Weingarten, Ron Barak
  • Patent number: 11393137
    Abstract: The present invention describes a new functional biomarker of vascular inflammation and its use in predicting all-cause or cardiac mortality. The invention also provides a method for stratifying patients according to their risk of all-cause or cardiac mortality using data gathered from a computer tomography scans of a blood vessel to determine a specific combination of structural and functional biomarkers of vascular inflammation and disease.
    Type: Grant
    Filed: October 31, 2017
    Date of Patent: July 19, 2022
    Assignee: Oxford University Innovation Limited
    Inventors: Charalambos Antoniades, Keith Channon, Evangelos Oikonomou, Stefan Neubauer
  • Patent number: 11393099
    Abstract: Systems and methods are provided for generating and using statistical data which is indicative of a difference in shape of a type of anatomical structure between images acquired by a first imaging modality and images acquired by a second imaging modality. This statistical data may then be used to modify a first segmentation of the anatomical structure which is obtained from an image acquired by the first imaging modality so as to predict the shape of the anatomical structure in the second imaging modality, or in general, to generate a second segmentation of the anatomical structure as it may appear in the second imaging modality based on the statistical data and the first segmentation.
    Type: Grant
    Filed: March 2, 2018
    Date of Patent: July 19, 2022
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Rolf Jürgen Weese, Alexandra Groth, Jochen Peters
  • Patent number: 11386560
    Abstract: The present disclosure pertains to the analysis of the cardiac region in CT images. Provided herein are a method, a computer system and a computer program product for the segmentation of the cardiac region in CT images.
    Type: Grant
    Filed: October 19, 2020
    Date of Patent: July 12, 2022
    Assignee: Bayer Aktiengesellschaft
    Inventors: Franco Fois, Wei Liao, Daniel Rechsteiner
  • Patent number: 11382577
    Abstract: Methods and systems are provided for determining a stiffness information of a medical instrument used during a minimally invasive interventional procedure in a vascular system of a patient by recording a three-dimensional volume image of the vascular system at least in the intervention region.
    Type: Grant
    Filed: April 2, 2018
    Date of Patent: July 12, 2022
    Assignee: Siemens Healthcare GmbH
    Inventors: Katharina Breininger, Marcus Pfister
  • Patent number: 11386592
    Abstract: Example methods and systems for tomographic data analysis are provided. One example method may comprise: obtaining first three-dimensional (3D) feature volume data and processing the first 3D feature volume data using an AI engine that includes multiple first processing layers, an interposing forward-projection module and multiple second processing layers. Example processing using the AI engine may involve: generating second 3D feature volume data by processing the first 3D feature volume data using the multiple first processing layers, transforming the second 3D volume data into 2D feature data using the forward-projection module and generating analysis output data by processing the 2D feature data using the multiple second processing layers.
    Type: Grant
    Filed: December 20, 2019
    Date of Patent: July 12, 2022
    Inventors: Pascal Paysan, Benjamin M Haas, Janne Nord, Sami Petri Perttu, Dieter Seghers, Joakim Pyyry
  • Patent number: 11380084
    Abstract: Systems and methods for image classification include receiving imaging data of in-vivo or excised tissue of a patient during a surgical procedure. Local image features are extracted from the imaging data. A vocabulary histogram for the imaging data is computed based on the extracted local image features. A classification of the in-vivo or excised tissue of the patient in the imaging data is determined based on the vocabulary histogram using a trained classifier, which is trained based on a set of sample images with confirmed tissue types.
    Type: Grant
    Filed: February 11, 2020
    Date of Patent: July 5, 2022
    Inventors: Ali Kamen, Shanhui Sun, Terrence Chen, Tommaso Mansi, Alexander Michael Gigler, Patra Charalampaki, Maximilian Fleischer, Dorin Comaniciu
  • Patent number: 11380002
    Abstract: This application discloses a map element extraction method and apparatus, and a server. The map element extraction method includes obtaining a laser point cloud and an image of a target scene, the target scene including a map element; performing registration between the laser point cloud and the image to obtain a depth map of the image; performing image segmentation on the depth map of the image to obtain a segmented image of the map element in the depth map; and converting a two-dimensional location of the segmented image in the depth map to a three-dimensional location of the map element in the target scene according to a registration relationship between the laser point cloud and the image.
    Type: Grant
    Filed: October 20, 2020
    Date of Patent: July 5, 2022
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Mao Shu, Si Chen
  • Patent number: 11380025
    Abstract: The present invention relates to scatter correction method and apparatus for dental cone-beam CT. An object of the present invention is improving quality of reconstructed images by processing the scatter correction by learning which uses Monte Carlo simulation and artificial neural network.
    Type: Grant
    Filed: November 6, 2018
    Date of Patent: July 5, 2022
    Assignee: RAY CO., LTD
    Inventors: Sang Chul Lee, Sung Ho Chang
  • Patent number: 11372066
    Abstract: Systems and methods for quantitative susceptibility mapping (“QSM”) using magnetic resonance imaging (“MRI”) are described. Localized magnetic field information is used when performing the inversion to compute quantitative susceptibility maps. The localized magnetic field information can include multi-resolution subvolumes obtained by segmenting, or dividing, a field shift map. In some instances, a trained machine learning algorithm, such as a trained neural network, can be implemented to convert the localized magnetic field information into quantitative susceptibility data. These local susceptibility maps can be combined to form a composite quantitative susceptibility map of the imaging volume.
    Type: Grant
    Filed: February 7, 2019
    Date of Patent: June 28, 2022
    Assignee: The Medical College of Wisconsin, Inc.
    Inventors: Kevin M. Koch, Andrew S. Nencka, Juan Liu
  • Patent number: 11372071
    Abstract: A method may include obtaining a plurality of groups of imaging data. Each group of the plurality of groups of imaging data may be generated based on MR signals acquired by an MR scanner via scanning a subject using a diffusion sequence. The method may also include determining one or more correction coefficients associated with an error caused by the diffusion sequence for each group of the plurality of groups of imaging data. The method may also include determining, based on the one or more correction coefficients corresponding to the each group of the plurality of groups of imaging data, a plurality of groups of corrected imaging data. The method may further include determining averaged imaging data by averaging the plurality of groups of corrected imaging data in a complex domain and generating, based on the averaged imaging data, an MR image.
    Type: Grant
    Filed: November 4, 2020
    Date of Patent: June 28, 2022
    Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.
    Inventors: Guobin Li, Nan Liu, Zhaopeng Li
  • Patent number: 11369348
    Abstract: An ultrasound diagnostic apparatus includes processing circuitry. The processing circuitry generates a first image based on an echo signal obtained by transmission and reception of ultrasound waves. The processing circuitry acquires a second image that is an image generated by a medical image diagnostic apparatus. The processing circuitry performs a registration of the first image and the second image, by discretely setting a plurality of relative positions of the first image and the second image within a specified range, calculating the similarity between the first image and the second image corresponding to the plurality of relative positions respectively, updating the plurality of the relative positions based on the calculation result of the similarity, and recalculating the similarity corresponding to the plurality of the updated relative positions respectively. The processing circuitry causes a display to display the images obtained after the registration.
    Type: Grant
    Filed: July 30, 2019
    Date of Patent: June 28, 2022
    Assignee: CANON MEDICAL SYSTEMS CORPORATION
    Inventors: Qi Chen, Zhe Tang, Weijian Jian