Tomography (e.g., Cat Scanner) Patents (Class 382/131)
  • Patent number: 10772594
    Abstract: A method, apparatus, system, and computer program product for using an invalidity matrix, iterative reconstruction and reprojection to generate a two-dimensional image. The method includes acquiring projections through an a dental anatomy, calibrating the acquired projected images, estimating a geometry of the tomosynthesis system, determining an invalidity matrix for each acquired projection image, removing contributions of marker particles to the acquired projection images, constructing a starting volume for reconstruction, performing an iteration process for iteratively updating the starting volume, and reprojecting a final reconstructed volume to obtain a final two-dimensional image.
    Type: Grant
    Filed: December 11, 2018
    Date of Patent: September 15, 2020
    Assignee: DENTSPLY SIRONA Inc.
    Inventor: Frederick William Duewer
  • Patent number: 10772573
    Abstract: An apparatus is disclosed for assisting in providing a diagnosis of a medical condition of a mammal brain. The apparatus includes an input facility, a conversion facility, and an output device. In an operational mode the input facility receives a first value and a second value. The input facility further receives first reference data indicative for a cumulative distribution of the first value for said portion in a reference population and second reference data indicative for a cumulative, distribution of the second value for the corresponding portion in the reference, population. The conversion facility determines a third value indicating the cumulative probability of the first value and a fourth value indicating the cumulative probability of the second value. The output device generates a signal indicating a substantially monotonically increasing function of a difference between the third and the fourth value.
    Type: Grant
    Filed: July 8, 2016
    Date of Patent: September 15, 2020
    Assignee: Erasmus University Medical Center Rotterdam
    Inventors: Bas Jasperse, Marcel Koek, Gabriel Krestin, Wiro Niessen
  • Patent number: 10772595
    Abstract: A method and an apparatus are provided for displaying a medical image. The method includes displaying a first medical image on a screen, based on a first input that zooms in on or zooms out from a first object in the first medical image, determining first geometry information comprising either one or both of position information and size information of the first object, and displaying the first geometry information on a predetermined fixed region of the screen.
    Type: Grant
    Filed: December 5, 2017
    Date of Patent: September 15, 2020
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Gi-tae Lee, Dong-jin Yang
  • Patent number: 10768260
    Abstract: A system and method for controlling noise in magnetic resonance imaging (MRI) are provided. In one aspect, the method includes reconstructing a series of images of the target using the image data, with each image being defined using signal-to-noise (SNR) units, and selecting an image patch corresponding to the series of images. The method also includes forming a matrix by combining vectors generated using the image patch, and applying a local low rank denoising technique using the matrix and the series of images to generate at least one denoised image.
    Type: Grant
    Filed: September 17, 2018
    Date of Patent: September 8, 2020
    Assignee: Regents of the University of Minnesota
    Inventors: Steen Moeller, Mehmet Akcakaya
  • Patent number: 10769780
    Abstract: A method includes obtaining volumetric image data that includes a coronary vessel of a subject. The method further includes identifying the coronary vessel in the volumetric image data. The method further includes identifying a presence of a collateral flow for the identified coronary vessel. The method further includes determining a boundary condition of the collateral flow. The method further includes constructing a boundary condition parametric model that includes a term that represents the boundary condition of the collateral flow. The method further includes determining a fractional flow reserve index for the coronary vessel with the boundary condition parametric model.
    Type: Grant
    Filed: October 17, 2016
    Date of Patent: September 8, 2020
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Mordechay Pinchas Freiman, Liran Goshen
  • Patent number: 10768254
    Abstract: In a magnetic resonance imaging apparatus and a method for the operation thereof, a diagnostic magnetic resonance imaging sequence is selected in a control computer of the apparatus, and an adjustment parameter for the selected sequence is acquired in the control computer, which is specific to the subject under examination. A limit value for a loading parameter of the subject is specified in the computer, and a parameter range for an imaging parameter of the sequence is determined in the computer on the basis of the acquired adjustment parameter and the specified limit value for the loading parameter. A planning environment for the magnetic resonance imaging of the subject is presented, in which only the determined parameter range can be set for the imaging parameter.
    Type: Grant
    Filed: June 8, 2017
    Date of Patent: September 8, 2020
    Assignee: Siemens Healthcare GmbH
    Inventors: Andreas Greiser, Daniel Nico Splitthoff, David Grodzki
  • Patent number: 10765362
    Abstract: A method, display apparatus, and display system for displaying an image of an abdominal cross-section includes storing plural abdominal CT sample images that have at least either of different visceral fat areas or different subcutaneous fat areas, estimating at least one of a visceral fat area and a subcutaneous fat area of an abdominal cross-section, and displaying an abdominal CT sample image corresponding to the estimated at least one of the visceral fat area and the subcutaneous fat area from among the plural abdominal CT sample images.
    Type: Grant
    Filed: November 29, 2017
    Date of Patent: September 8, 2020
    Assignee: KYOCERA Corporation
    Inventor: Hiromi Ajima
  • Patent number: 10762636
    Abstract: Methods and systems for volumetric segmentation of structures in planar medical images. One example method includes displaying a first planar medical image. The method further includes receiving a user input indicating a line segment in the first planar medical image. The method also includes determining an inclusion region using the line segment. The inclusion region consists of a portion of the structure. The method further includes determining a containment region using the line segment. The containment region includes the structure. The method also includes determining a background region using the line segment. The background region excludes the structure. The method further includes determining a three dimensional (3D) contour of the structure using the inclusion region, the containment region, and the background region. The method also includes determining a long axis of the structure using the 3D contour. The method further includes outputting a dimension of the long axis.
    Type: Grant
    Filed: May 25, 2018
    Date of Patent: September 1, 2020
    Assignee: HealthMyne, Inc.
    Inventors: David Gering, Aaron Avery, Roger Chylla
  • Patent number: 10761170
    Abstract: The invention provides for a medical imaging system (100, 400) comprising: a memory (112) for storing machine executable instructions and a processor (106) for controlling the medical imaging system.
    Type: Grant
    Filed: December 12, 2016
    Date of Patent: September 1, 2020
    Assignee: Koninklijke Philips N.V.
    Inventors: Jan Jakob Meineke, Ulrich Katscher
  • Patent number: 10762398
    Abstract: Techniques for the operation and use of a model that learns the general representation of multimodal images is disclosed. In various examples, methods from representation learning are used to find a common basis for representation of medical images. These include aspects of encoding, fusion, and downstream tasks, with use of the general representation and model. In an example, a method for generating a modality-agnostic model includes receiving imaging data, encoding the imaging data by mapping data to a latent representation, fusing the encoded data to conserve latent variables corresponding to the latent representation, and training a model using the latent representation. In an example, a method for processing imaging data using a trained modality-agnostic model includes receiving imaging data, encoding the data to the defined encoding, processing the encoded data with a trained model, and performing imaging processing operations based on output of the trained model.
    Type: Grant
    Filed: May 22, 2018
    Date of Patent: September 1, 2020
    Assignee: Elekta AB
    Inventors: Jens Olof Sjölund, Jonas Anders Adler
  • Patent number: 10751947
    Abstract: An additive manufacturing device processes voxels representing an object to be additively manufactured by determining two graphs depending on whether the voxels indicate full or empty spaces, and redefines some of the voxels indicating an empty space as full spaces in order to ensure mechanical stability.
    Type: Grant
    Filed: June 28, 2016
    Date of Patent: August 25, 2020
    Assignees: Inria Institut National De Recherche En Informatique et en automatique, Universite De Lorraine
    Inventors: Sylvain Lefebvre, Jeremie Dumas, An Lu
  • Patent number: 10756934
    Abstract: The invention relates to a method for channel estimation in a wireless communication system. The communication system includes a communication unit provided with a plurality of antennas, and one or more terminals. First, pilot signals are transmitted from each antenna towards the one or more terminals. At the terminals correlative coding is performed with respect to the transmitted pilot signals to form correlatively coded pilot signals. The correlatively coded pilot signals are then retransmitted from the one or more terminals to the plurality of antennas of the communication unit. The communication unit then estimates uplink channels between the one or more terminals and the plurality of antennas based on the correlatively coded pilot signals. Finally, estimates of the downlink channels between the plurality of antennas and the one or more terminals are obtained based on the estimated uplink channels.
    Type: Grant
    Filed: September 22, 2016
    Date of Patent: August 25, 2020
    Assignee: Alcatel Lucent
    Inventor: Stefan Wesemann
  • Patent number: 10755411
    Abstract: An embodiment of the present disclosure discloses a method and apparatus for annotating a medical image. An embodiment of the method comprises: acquiring a to-be-annotated medical image; annotating classification information for the to-be-annotated medical image, wherein the classification information comprises a category of a diagnosis result and a grade of the diagnosis result corresponding to the medical image; processing the to-be-annotated medical image using a pre-trained lesion area detection model, framing a lesion area in the to-be-annotated medical image, and annotating a lesion type of the lesion area, to enable the to-be-annotated medical image to be annotated with the lesion area and the lesion type of the lesion area; and splitting the framed lesion area from the to-be-annotated medical image with the framed lesion area to form a split image of the to-be-annotated medical image, to enable the to-be-annotated medical image to be annotated with the split image.
    Type: Grant
    Filed: July 31, 2018
    Date of Patent: August 25, 2020
    Assignee: BAIDU ONLINE NETWORK TECHNOLOGY (BEIJING) CO., LTD.
    Inventors: Shaoting Zhang, Weidong Zhang, Qi Duan
  • Patent number: 10755453
    Abstract: An image processing apparatus includes an input device configured to receive a computerized tomography image of a first respiration phase of an object; a data selector configured to select magnetic resonance image data similar to the object from among magnetic resonance image data; and an image generator configured to generate a computerized tomography image of a second respiration phase of the object based on the selected magnetic resonance image data.
    Type: Grant
    Filed: September 23, 2015
    Date of Patent: August 25, 2020
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Kyong Joon Lee, Won-chul Bang, Youngtaek Oh, Jiwon Ryu, Jayeon Jeong
  • Patent number: 10755412
    Abstract: Mechanisms are provided for implementing a patient complexity classification (PCC) computing system. The PCC computing system receives medical image study data for a patient that comprises one or more medical image data structures and one or more corresponding medical image metadata data structures. A natural language processing engine of the PCC computing system performs natural language processing on the medical image metadata data structure to extract features indicative of at least one of patient or medical image characteristics. A complexity classifier of the PCC computing system evaluates the extracted features to determine a patient complexity indicating a complexity of a medical condition of the patient. Routing logic associated with the PCC computing system routes the one or more medical image data structures and one or more corresponding medical image metadata data structures to one or more downstream patient evaluation computing systems based on the determined patient complexity.
    Type: Grant
    Filed: November 20, 2018
    Date of Patent: August 25, 2020
    Assignee: International Business Machines Corporation
    Inventors: Emily Lindemer, David Richmond, Marwan Sati, Maria V. Sainz de Cea
  • Patent number: 10755449
    Abstract: An image acquisition unit acquires a plurality of projected images from a CT apparatus. A reconstruction unit reconstructs the plurality of projected images to produce a plurality of tomographic images. A scattered ray removal unit removes scattered ray components included in radiation transmitted through the subject from the plurality of projected images based on the tomographic images. The repetition unit performs repetition processing of repeating production of a new tomographic image obtained by reconstructing the projected images from which the scattered ray components are removed, and the removal of the scattered ray components from the plurality of projected images based on the new tomographic image.
    Type: Grant
    Filed: January 31, 2018
    Date of Patent: August 25, 2020
    Assignee: FUJIFILM Corporation
    Inventor: Wataru Fukuda
  • Patent number: 10755407
    Abstract: Methods and systems are provided for generating deep learning training data with an imaging system. In one embodiment, a method for an imaging system comprises performing a scan of a subject to acquire imaging data, training a deep neural network on the imaging data to obtain updates to the deep neural network, and transmitting the updates to a server for training a central deep neural network. In this way, imaging data may be leveraged for training and developing global deep learning models without transmitting the imaging data itself, thereby preserving patient privacy.
    Type: Grant
    Filed: January 30, 2018
    Date of Patent: August 25, 2020
    Assignee: GENERAL ELECTRIC COMPANY
    Inventors: Eric Michael Gros, David Erik Chevalier
  • Patent number: 10748328
    Abstract: An information processing apparatus acquires information representing an angle concerning a view direction for each of a first view direction, a second view direction, and a third view direction and an output view direction. The apparatus derives the influence degree of the rendering representation of the target object concerning each of the first view direction, the second view direction, and the third view direction to the rendering representation of the target object concerning the output view direction based on a curve determined in advance as a reference of rotation of the target object, for which a point on a line corresponding to the angle concerning the view direction is determined.
    Type: Grant
    Filed: October 24, 2018
    Date of Patent: August 18, 2020
    Assignee: Live2D Inc.
    Inventor: Tetsuya Nakajo
  • Patent number: 10743841
    Abstract: A method of displaying an elastography image and an ultrasound diagnosis apparatus performing the method are provided. The method includes transmitting an ultrasound signal to an object, receiving a response signal to the transmitted ultrasound signal, determining ultrasound image data based on the received response signal, determining displacement image data based on the determined ultrasound image data, generating elastography images based on the determined displacement image data, dividing the elastography images into sections based on a criterion, and determining a representative elastography image of each of the sections based on one or more elastography images in each of the sections and quality information of the one or more elastography images, the quality information being based on a strain of a first elastography image among the one or more elastography images. The method further includes displaying the representative elastography image.
    Type: Grant
    Filed: January 15, 2016
    Date of Patent: August 18, 2020
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Dong-geon Kong, Jun-ho Park, Hyoung-ki Lee
  • Patent number: 10748662
    Abstract: A content-based medical image retrieval method and a retrieval system using the same include: obtaining m (2?m?n) number of unit images from a three-dimensional (3D) medical image including n (n?2) number of unit images and extracting features per unit image from each of the m (2?m?n) number of unit images through a feature extraction unit, wherein the 3D medical image is voxel data including a plurality of slices and each of the plurality of slices is defined as a unit image; inputting features of each unit image extracted from the m (2?m?n) number of unit images to a recurrent neural network to generate an output value; and performing medical image retrieval using the output value through an input processing unit, wherein a plurality of 3D medical images to be compared with the output value include a 3D medical image having p (p?2, p?n) number of unit images.
    Type: Grant
    Filed: April 10, 2018
    Date of Patent: August 18, 2020
    Assignee: Vuno, Inc.
    Inventor: Kyu Hwan Jung
  • Patent number: 10748291
    Abstract: The present disclosure relates to the technical field of medical image processing and, in particular, to a liver boundary identification method and a system. The method includes: obtaining liver tissue information of a liver tissue to be identified; identifying a liver tissue boundary in the liver tissue information according to a feature of the liver tissue corresponding to the liver tissue information and a feature of the liver tissue boundary corresponding to the liver tissue information using an image processing technology or a signal processing technology; and outputting position information of the identified liver tissue boundary. By using the disclosed method, the liver tissue boundary can be identified automatically, the efficiency of identifying the liver boundary can be improved, and automatic positioning of the liver boundary can thus be achieved.
    Type: Grant
    Filed: May 20, 2019
    Date of Patent: August 18, 2020
    Assignee: WUXI HISKY MEDICAL TECHNOLOGIES CO., LTD.
    Inventors: Jinhua Shao, Jin Sun, Houli Duan
  • Patent number: 10748277
    Abstract: Tissue is characterized using machine-learnt classification. The prognosis, diagnosis or evidence in the form of a similar case is found by machine-learnt classification from features extracted from frames of medical scan data. The texture features for tissue characterization may be learned using deep learning. Using the features, therapy response is predicted from magnetic resonance functional measures before and after treatment in one example. Using the machine-learnt classification, the number of measures after treatment may be reduced as compared to RECIST for predicting the outcome of the treatment, allowing earlier termination or alteration of the therapy.
    Type: Grant
    Filed: September 9, 2016
    Date of Patent: August 18, 2020
    Assignees: Siemens Healthcare GmbH, The Johns Hopkins University
    Inventors: Shaohua Kevin Zhou, David Liu, Berthold Kiefer, Atilla Peter Kiraly, Benjamin L. Odry, Robert Grimm, Li Pan, Ihab Kamel
  • Patent number: 10729310
    Abstract: An endoscope image processing device includes a processor including hardware programmed to: enlarge or reduce multiple color component images constituting a normal light image, and a narrow-band light image; generate a blended image by synthesizing one of the enlarged or reduced color component images and the enlarged or reduced narrow-band light image; and generate a color superimposed image by synthesizing the blended image and the other enlarged or reduced color component images. The processor is programmed to replace some of pixels of the one color component image with corresponding pixels of the narrow-band light image such that distribution of pixels of the one color component image and pixels of the narrow-band light image is substantially uniform over the blended image.
    Type: Grant
    Filed: May 21, 2019
    Date of Patent: August 4, 2020
    Assignee: OLYMPUS CORPORATION
    Inventor: Hiromi Takahashi
  • Patent number: 10735959
    Abstract: Provided herein are devices, systems, and methods for detecting spoofing of a 3D object, using a 2D representation, in a mobile object authentication process, comprising capturing image data of the 3D object by a front-facing camera, to record a current spatial characteristic of the 3D object, while a front-facing screen displays an authentication pattern comprising a plurality of regions, wherein at least one of the regions varies in at least one of: brightness, position, size, shape, and color over time causing a variance of lighting effects which create highlights and shadows on the 3D object over time. The devices, systems, and methods thereby provide an efficient and secure process for determining if spoofing of the 3D object, using a 2D representation, is attempted in a mobile authentication process, by comparing the current spatial characteristic of the 3D object with a stored reference spatial characteristic of the 3D object.
    Type: Grant
    Filed: September 18, 2018
    Date of Patent: August 4, 2020
    Assignee: Element Inc.
    Inventors: Yann LeCun, Fengjun Lv, Dushyant Goyal, Yang Wang, Adam Perold
  • Patent number: 10732245
    Abstract: In a diagnostic imaging device, such as an MRI device, correction processing improves an image to be a high-quality image and an imaging time is shortened. In the diagnostic imaging device, a noise reduction unit 201 reduces a noise in observation data acquired with an observation unit 100 and converted into an image, and the image correction unit 202 corrects the noise reduced data by correction processing that uses visual characteristics of human. The image correction unit 202 separates the noise reduced data into a broad luminance component and a local variation component, and generates a correction level map using the broad luminance component. Correcting the noise reduced data using this correction level map and the local variation component acquires a high-quality image that is competent in the clinical field.
    Type: Grant
    Filed: April 12, 2017
    Date of Patent: August 4, 2020
    Assignee: HITACHI, LTD.
    Inventors: Yoshimi Noguchi, Masahiro Ogino, Takenori Murase, Tetsuhiko Takahashi
  • Patent number: 10729404
    Abstract: The present invention proposes an ultrasound imaging system and method for measuring a property of a region of interest in a subject by using shear wave, wherein an ultrasound probe is configured to sequentially transmit, to each of a plurality of focal spots (320, 322, 324) in the region of interest, a push pulse (310, 312, 314) for generating a shear wave (330, 332, 334), each of the plurality of focal spots having a mutually different depth value (z1, z2, z3), and to receive ultrasound echo signals adjacent (350, 352, 354) to each of the plurality of focal spots; a shear wave detector is configured to derive, for each of the plurality of focal spots, a first parameter indicating a property of the generated shear wave, based on the received ultrasound echo signals; and a property estimator is configured to estimate a second parameter indicating the property of the region of interest as a function of the derived first parameters.
    Type: Grant
    Filed: July 29, 2016
    Date of Patent: August 4, 2020
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Vijay Thakur Shamdasani, Yin Hui Deng, Ying Wu, Hua Xie, Shiwei Zhou
  • Patent number: 10733788
    Abstract: Systems and methods are provided for generating segmented output from input regardless of the resolution of the input. A single trained network is used to provide segmentation for an input regardless of a resolution of the input. The network is recursively trained to learn over large variations in the input data including variations in resolution. During training, the network refines its prediction iteratively in order to produce a fast and accurate segmentation that is robust across resolution differences that are produced by MR protocol variations.
    Type: Grant
    Filed: January 18, 2019
    Date of Patent: August 4, 2020
    Assignee: Siemens Healthcare GmbH
    Inventors: Pascal Ceccaldi, Xiao Chen, Boris Mailhe, Benjamin L. Odry, Mariappan S. Nadar
  • Patent number: 10722189
    Abstract: A method of processing and reconstructing dynamic positron emission tomography (PET) sinogram data comprises: acquiring PET sinogram data using continuous bed motion having a varying velocity; recording a plurality of position-time coordinate pairs while acquiring the PET sinogram data; determining respective acquisition times of each of a plurality of slices of the image, based on the plurality of position-time coordinates; and reconstructing respective parametric images for each respective slice in the plurality of slices.
    Type: Grant
    Filed: August 30, 2017
    Date of Patent: July 28, 2020
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Jicun Hu, Vladimir Y. Panin, Anne M. Smith, William Curtis Howe, Vijay Shah, Frank Kehren, Michael E. Casey, Matthew Baker, Bernard Bendriem
  • Patent number: 10718601
    Abstract: An optical coherence tomography device provided with: an OCT optical system configured to output OCT signal; and an analysis processing unit configured to process the OCT signal and generate motion contrast data of the specimen. The analysis processing unit is provided with: a first image data generation unit configured to process multiple OCT signals to generate first image data representing phase difference information of the multiple OCT signals, and a second image data generation unit configured to process the OCT signal to generate second image data representing amplitude information of the OCT signal. The analysis processing unit generates the motion contrast data based on the phase difference information in the first image data and the amplitude information in the second image data.
    Type: Grant
    Filed: February 20, 2018
    Date of Patent: July 21, 2020
    Assignee: NIDEK CO., LTD.
    Inventors: Naoki Takeno, Masaaki Hanebuchi, Yasuhiro Furuuchi, Hajime Namiki
  • Patent number: 10719930
    Abstract: A method for calculating and reporting image quality properties of an image acquisition device after a subject or object has been scanned consists of a scan quality monitoring system with automated software for receiving scans and radiation dose data from scanners and automated algorithms for analyzing image quality metrics and radiation dose tradeoffs. Image quality assessment methods include algorithms for measuring fundamental imaging characteristics, level and type of image artifacts, and comparisons against large databases of historical data for the scanner and protocols. Image quality reports are further customized to report on expected clinical performance of image detection or measurement tasks.
    Type: Grant
    Filed: April 13, 2016
    Date of Patent: July 21, 2020
    Assignee: ACCUMETRA, LLC
    Inventor: Ricardo S. Avila
  • Patent number: 10716527
    Abstract: A method and apparatus is provided to generate material-component images from spectral computed tomography (CT) projection data, using material decomposition in both the sinogram and image domains. From material components in the sinogram domain, monoenergetic sinograms are generated, and then monoenergetic images are reconstructed from the monoenergetic sinograms. Next, the monoenergetic images are decomposed into material-component images. Material decomposition in the sinogram domain enables beam-hardening corrections, and material decomposition in the image domain enhances image quality using prior information regarding the images including (e.g., smoothness and volume constraints) and using image-domain calibrations. Additionally, the method can be improved using scatter correction and detector-response and energy-spectrum calibrations. Further, iterations of the method can be performed by feeding back the material-component images to improve the scatter correction.
    Type: Grant
    Filed: February 17, 2017
    Date of Patent: July 21, 2020
    Assignee: Canon Medical Systems Corporation
    Inventor: Adam Petschke
  • Patent number: 10720251
    Abstract: A method for inspecting a nuclear reactor part includes placing an optical sensor (38) in front of the part to be inspected using a carrier (40); acquiring at least a first image of at least a reference portion of the part using the optical sensor (38), the or each first image being taken with a first magnification; reconstituting a three-dimensional model of said reference portion of the part using the or each first acquired image; calculating the position of an area to be inspected relative to the optical sensor (38) using the three-dimensional model; acquiring at least a second image of the area to be inspected using the optical sensor (38), the or each second image of the area to be inspected being taken with a second magnification higher than the first magnification.
    Type: Grant
    Filed: June 21, 2017
    Date of Patent: July 21, 2020
    Assignee: FRAMATOME
    Inventor: Yannick Caulier
  • Patent number: 10713785
    Abstract: A system and method includes generation of one or more motion-corrupted images based on each of a plurality of reference images, and training of a regression network to determine a motion score, where training of the regression network includes input of a generated motion-corrupted image to the regression network, reception of a first motion score output by the regression network in response to the input image, and determination of a loss by comparison of the first motion score to a target motion score, the target motion score calculated based on the input motion-corrupted image and a reference image based on which the motion-corrupted image was generated.
    Type: Grant
    Filed: February 9, 2018
    Date of Patent: July 14, 2020
    Assignee: Siemens Healthcare GmbH
    Inventors: Sandro Braun, Xiaoguang Lu, Boris Mailhe, Benjamin L. Odry, Xiao Chen, Mariappan S. Nadar
  • Patent number: 10713825
    Abstract: A medical image processing device is disclosed. The disclosed medical image processing device may include: an input interface through which a depth adjusting command is input from a user; an image processor and controller generating a two-dimensional reconstruction image by overlapping a part or all of CT image data in a view direction, and changing a contrast of at least a part of the two-dimensional reconstruction image according to the depth adjusting command; and a display part displaying the two-dimensional reconstruction image.
    Type: Grant
    Filed: October 10, 2016
    Date of Patent: July 14, 2020
    Assignees: VATECH Co., Ltd., VATECH EWOO Holdings Co., Ltd.
    Inventors: Woong Bae, Sung Il Choi
  • Patent number: 10712415
    Abstract: In a method and apparatus for recording a magnetic resonance data record in a capture region of an examination object, the capture region being composed of multiple slices, an imaging technique is implemented that uses reference data in the reconstruction of magnetic resonance images, wherein, for all the slices, at least two partial data records are recorded with respectively different contrasts. For thus purpose, a first partial data record is recorded without a preparation pulse and a second partial data record is recorded with a preparation pulse, in particular an inversion pulse. The reference data for at least one first slice for the first partial data record are recorded during a waiting time after the preparation pulse for at least one other, second slice, from which reference data relating to the second partial data record are to be recorded.
    Type: Grant
    Filed: March 6, 2019
    Date of Patent: July 14, 2020
    Assignee: Siemens Healthcare GmbH
    Inventor: Mario Zeller
  • Patent number: 10713802
    Abstract: An ultrasonic image processing system comprising: a data receiving module for acquiring multiple sets of three-dimensional image data corresponding to a single target tissue; an image analyzing module for dividing, on the basis of any one group of the multiple sets of three-dimensional image data, a target region to obtain a three-dimensional volume structure boundary of the target region, and a safety boundary generated by outward expansion or inward contraction along the three-dimensional volume structure boundary; an image mapping module for establishing a spatial mapping relation between the multiple sets of three-dimensional image data, and according to the spatial mapping relation, mapping the three-dimensional volume structure boundary and the safety boundary of the target region to the other sets of three-dimensional image data; and an image marking module for marking, in a displayed image, corresponding three-dimensional volume structure boundaries and safety boundaries of the target region in the mu
    Type: Grant
    Filed: February 6, 2018
    Date of Patent: July 14, 2020
    Assignee: Shenzhen Mindray Bio-Medical Electronics Co., Ltd.
    Inventors: Longfei Cong, Teng Sun
  • Patent number: 10706533
    Abstract: Methods, devices, and systems are provided for quantifying an extent of various pathology patterns in scanned subject images. The detection and quantification of pathology is performed automatically and unsupervised via a trained system. The methods, devices, and systems described herein generate unique dictionaries of elements based on actual image data scans to automatically identify pathology of new image data scans of subjects. The automatic detection and quantification system can detect a number of pathologies including a usual interstitial pneumonia pattern on computed tomography images, which is subject to high inter-observer variation, in the diagnosis of idiopathic pulmonary fibrosis.
    Type: Grant
    Filed: May 15, 2017
    Date of Patent: July 7, 2020
    Assignee: National Jewish Health
    Inventors: David A. Lynch, Stephen M. Humphries
  • Patent number: 10706548
    Abstract: A method of segmenting an MR organ volume includes performing regional mapping on the MR organ volume using a spatial prior probability map of a location of the organ to create a regionally mapped MR organ volume, and performing boundary refinement on the regionally mapped MR organ volume using a level set framework that employs the spatial prior probability map and a propagated shape constraint to generate a segmented MR organ volume.
    Type: Grant
    Filed: September 14, 2016
    Date of Patent: July 7, 2020
    Assignee: University of Pittsburgh—Of the Commonwealth System of Higher Education
    Inventors: Kyong Tae Bae, Youngwoo Kim
  • Patent number: 10705172
    Abstract: In a method and magnetic resonance (MR) apparatus for performing an adjustment of the MR system, an examination object under is divided into at least one excitation volume. First adjustment parameters for the at least one excitation volume of the object, and second adjustment parameters for the at least one excitation volume of the object, which differ from the first adjustment parameters are determined. First MR signals are acquired from the at least one excitation volume using the first adjustment parameters. Second MR signals are acquired from an excitation volume using the second adjustment parameters. A first MR image of the at least one excitation volume is reconstructed using the first MR signal. A second MR image of the at least one excitation volume is reconstructed using the second MR signal.
    Type: Grant
    Filed: February 24, 2017
    Date of Patent: July 7, 2020
    Assignee: Siemens Healthcare GmbH
    Inventors: Berthold Kiefer, Alto Stemmer
  • Patent number: 10706550
    Abstract: Systems and methods for image reconstruction are provided. The methods may include obtaining a scout image including a target object, determining a first area and a second area based on the scout image, wherein the second area is located in the first area, obtaining positron emission tomography (PET) data of the first area and first computed tomography (CT) data of the second area, and reconstructing a PET image with respect to the first area based on the PET data and the first CT data.
    Type: Grant
    Filed: May 21, 2018
    Date of Patent: July 7, 2020
    Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.
    Inventors: Youjun Sun, Xiaoyue Gu, Weiping Liu
  • Patent number: 10706333
    Abstract: A medical image analysis method, a medical image analysis system and a storage medium. The medical image analysis method includes: obtaining a medical image; processing the medical image by using a neural network, so as to determine a classification result of the medical image; and inputting the medical image into a computer aided diagnosis device corresponding to the classification result.
    Type: Grant
    Filed: April 17, 2018
    Date of Patent: July 7, 2020
    Assignee: BOE TECHNOLOGY GROUP CO., LTD.
    Inventor: Yingying Li
  • Patent number: 10706546
    Abstract: A method is provided for operating a medical imaging device when performing an imaging examination. In order to allow an improved preparation of images in the context of such an imaging examination, the method includes: providing an original image of a body region; recording an updated image of the body region; and generating a three-dimensional subsequent image from the original image and from the updated image using a previously trained artificial neural network.
    Type: Grant
    Filed: June 17, 2019
    Date of Patent: July 7, 2020
    Assignee: Siemens Healthcare GmbH
    Inventors: Alexander Gemmel, Gerhard Kleinszig, Björn Kreher, Holger Kunze, Jessica Magaraggia, Stefan Schneider, Markus Weiten
  • Patent number: 10699415
    Abstract: Described herein is a method detecting a plurality of upper respiratory tract sub-regions automatically. Volume of interest (VOI) is identified based on the extraction of certain features, such as regional properties and shape-based features. The complete airway volume from a patient's data is identified by observing the area and eccentricity profiles of the certain volume/organ in the skull. Maxillary sinus area and eccentricity profile in the sagittal view is chosen in the present subject matter for level 1 VOI identification. Once a level 1VOI is identified, the other sub-regions existing in the same VOI are further identified as individual level 2 VOI. Level 3 VOI is extracted based on the shape and geometric features of the organ. The extracted level 3 VOI is considered as the active contour that is followed by the initialized contour for the accurate segmentation of upper airway sub-regions.
    Type: Grant
    Filed: August 30, 2018
    Date of Patent: June 30, 2020
    Assignee: COUNCIL OF SCIENTIFIC & INDUSTRIAL RESEARCH
    Inventors: Bala Chakravarthy Neelapu, Harish Kumar Sardana, Om Prakash Kharbanda, Viren Sardana, Abhishek Gupta, Srikanth Vasamsetti
  • Patent number: 10699165
    Abstract: One embodiment provides a system that facilitates efficient collection of training data. During operation, the system obtains, by a recording device, a first image of a physical object in a scene which is associated with a three-dimensional (3D) world coordinate frame. The system marks, on the first image, a plurality of vertices associated with the physical object, wherein a vertex has 3D coordinates based on the 3D world coordinate frame. The system obtains a plurality of second images of the physical object in the scene while changing one or more characteristics of the scene. The system projects the marked vertices on to a respective second image to indicate a two-dimensional (2D) bounding area associated with the physical object.
    Type: Grant
    Filed: November 29, 2017
    Date of Patent: June 30, 2020
    Assignee: Palo Alto Research Center Incorporated
    Inventors: Matthew A. Shreve, Sricharan Kallur Palli Kumar, Jin Sun, Gaurang R. Gavai, Robert R. Price, Hoda M. A. Eldardiry
  • Patent number: 10694940
    Abstract: A method of automatically detecting a retinal feature using an ophthalmic imaging system and automatically providing at least one of an audio, visual, and tactile indication of the detected retinal feature to a user.
    Type: Grant
    Filed: November 1, 2018
    Date of Patent: June 30, 2020
    Assignee: Alcon Inc.
    Inventors: Hugang Ren, Lingfeng Yu
  • Patent number: 10699424
    Abstract: An image processing apparatus comprising: an image obtaining unit obtaining a first image and a second image different from the first image; a deformation information obtaining unit obtaining deformation information representing deformation between the first image and the second image; a deformed image generating unit generating a first deformed image of the first image deformed in accordance with the second image and a second deformed image of the second image deformed in accordance with the first image; and a display controlling unit displaying the first image, the second image, an image based on the first deformed image, and an image based on the second deformed image is used.
    Type: Grant
    Filed: July 13, 2017
    Date of Patent: June 30, 2020
    Assignee: Canon Kabushiki Kaisha
    Inventors: Takaaki Endo, Kiyohide Satoh
  • Patent number: 10698054
    Abstract: A method and a system for magnetic resonance imaging are provided. The method includes acquiring a magnetic resonance (MR) data set of an object by sampling only a portion of a k-space of the object. This sampled portion may be substantially triangle-shaped or be composed of multiple planes that extend through a point of origin of the k-space and are tangential to a common spherical cap in the k-space. An inverse Fourier transformation is then applied to the MR data set to transform the MR data set from the k-space to image space. A final MR image with a fan- or cone-beam geometry is then computed based on the transformed MR data set in image space.
    Type: Grant
    Filed: August 24, 2018
    Date of Patent: June 30, 2020
    Assignee: Siemens Healthcare GmbH
    Inventors: Martino Leghissa, Andreas Maier, Bernhard Stimpel, Christopher Syben
  • Patent number: 10694210
    Abstract: Innovations in scalable compression and decompression of point cloud data are described. For example, after an encoder uses a transform such as a region-adaptive hierarchical transform (“RAHT”) on attributes of occupied points in point cloud data, the encoder separates transform coefficients into partitions. The partitions can be associated with different regions of a point cloud frame (spatial location scalability), different spatial resolutions of point cloud data (spatial resolution scalability), different reconstruction quality levels (SNR scalability), different point cloud frames organized in temporal layers (temporal resolution scalability), or different combinations of the preceding types of partitions. For decoding, a decoder can select all of the partitions or a subset of the partitions. The decoder decodes encoded data for the selected partitions, applying an inverse transform such as an inverse RAHT to transform coefficients for attributes of occupied points in point cloud data.
    Type: Grant
    Filed: May 28, 2016
    Date of Patent: June 23, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Philip A. Chou, Ricardo L. de Queiroz
  • Patent number: 10691846
    Abstract: A method is provided including receiving data corresponding to a three-dimensional physical representation of a porous rock sample; calculating a low-dimensional representation of a pore network in the porous rock sample based on the three-dimensional physical representation; extracting one or more geometrical parameter from the low-dimension representation; generating a capillary network model of the porous rock sample based at least on the at least one geometrical parameter for simulating fluid flow inside the porous rock sample; and performing at least one simulation of a flow of the fluid through the capillary network model of the porous rock sample with a fluid additive to provide a predicted enhanced fluid recovery efficiency.
    Type: Grant
    Filed: March 1, 2017
    Date of Patent: June 23, 2020
    Assignee: International Business Machines Corporation
    Inventors: Peter William Bryant, William Fernando Lopez Candela, Alexandre Ashade Lassance Cunha, Rodrigo Neumann Barros Ferreira, Mathias B Steiner
  • Patent number: 10687856
    Abstract: A computer-implemented method of preoperatively planning a surgical procedure on a knee of a patient including determining femoral condyle vectors and tibial plateau vectors based on image data of the knee, the femoral condyle vectors and the tibial plateau vectors corresponding to motion vectors of the femoral condyles and the tibial plateau as they move relative to each other. The method may also include modifying a bone model representative of at least one of the femur and the tibia into a modified bone model based on the femoral condyle vectors and the tibial plateau vectors. And the method may further include determining coordinate locations for a resection of the modified bone model.
    Type: Grant
    Filed: April 5, 2019
    Date of Patent: June 23, 2020
    Assignee: Howmedica Osteonics Corporation
    Inventors: Ilwhan Park, Charlie W. Chi, Venkata Surya Sarva, Irene Min Choi