Tomography (e.g., Cat Scanner) Patents (Class 382/131)
  • Patent number: 10079071
    Abstract: A method and apparatus for whole body bone removal and vasculature visualization in medical image data, such as computed tomography angiography (CTA) scans, is disclosed. Bone structures are segmented in the a 3D medical image, resulting in a bone mask of the 3D medical image. Vessel structures are segmented in the 3D medical image, resulting in a vessel mask of the 3D medical image. The bone mask and the vessel mask are refined by fusing information from the bone mask and the vessel mask. Bone voxels are removed from the 3D medical image using the refined bone mask, in order to generate a visualization of the vessel structures in the 3D medical image.
    Type: Grant
    Filed: June 28, 2018
    Date of Patent: September 18, 2018
    Assignee: Siemens Healthcare GmbH
    Inventors: Nathan Lay, David Liu, Shaohua Kevin Zhou, Bernhard Geiger, Li Zhang, Vincent Ordy, Daguang Xu, Chris Schwemmer, Philipp Wolber, Noha Youssry El-Zehiry
  • Patent number: 10078894
    Abstract: Disclosed is a method and apparatus for restoring an image. The method and apparatus may detect boundary information associated with a boundary in an image, generate a reproducing kernel used to restore a hole in the image based on the detected boundary information, estimate hole information using the generated reproducing kernel, and restore the hole based on the estimated hole information.
    Type: Grant
    Filed: December 21, 2016
    Date of Patent: September 18, 2018
    Assignee: Korea Advanced Institute of Science and Technology
    Inventors: Jong Chul Ye, Kyong Hwan Jin, Kyung Sang Kim
  • Patent number: 10073946
    Abstract: A method is disclosed for generating a manufacturing model for a medical implant. In the method, image data of a body region is provided, and regions corresponding to structures of different tissue are segmented; a shape of the implant is defined on the basis of the regions corresponding to the structures and an interaction with the implant is determined for at least one structure in a patient-specific manner on the basis of the image data; for a number of structures, the respective interaction with the implant is checked for an exceedance of a critical stress; and the shape of the implant is defined as a manufacturing model. The manufacturing model is then stored on a non-transitory data carrier and/or output via an interface if the critical stress is not exceeded for any checked interaction of the implant with the respective structure.
    Type: Grant
    Filed: January 27, 2016
    Date of Patent: September 11, 2018
    Assignee: Siemens Aktiengesellschaft
    Inventor: Manuel Neetz
  • Patent number: 10074174
    Abstract: An image processing apparatus comprising: first image obtaining means for obtaining a first image of an object in a first shape state; imaging region setting means for setting an imaging region of the object in a second shape state; deformation information obtaining means for obtaining deformation information indicating deformation of the object from the second shape state to the first shape state; corresponding region calculating means for calculating a corresponding region that corresponds to the imaging region in the first shape state based on the deformation information; and display image generating means for generating a display image based on the first image and the corresponding region.
    Type: Grant
    Filed: January 8, 2015
    Date of Patent: September 11, 2018
    Assignee: CANON KABUSHIKI KAISHA
    Inventors: Takaaki Endo, Kiyohide Satoh
  • Patent number: 10074185
    Abstract: Disclosed are systems, devices, and methods for determining pleura boundaries of a lung, an exemplary method comprising acquiring image data from an imaging device, generating a set of two-dimensional (2D) slice images based on the acquired image data, determining, by a processor, a seed voxel in a first slice image from the set of 2D slice images, applying, by the processor, a region growing process to the first slice image from the set of 2D slice images starting with the seed voxel using a threshold value, generating, by the processor, a set of binarized 2D slice images based on the region grown from the seed voxel, filtering out, by the processor, connected components of the lung in each slice image of the set of binarized 2D slice images, and identifying, by the processor, the pleural boundaries of the lung based on the set of binarized 2D slice images.
    Type: Grant
    Filed: November 10, 2017
    Date of Patent: September 11, 2018
    Assignee: COVIDIEN LP
    Inventors: Igor A. Markov, Yuri Kreinin
  • Patent number: 10074156
    Abstract: An image processing apparatus comprising: medical image obtaining means for obtaining a medical image of an object in a first shape state; deformation information obtaining means for obtaining deformation information indicating deformation of the object from the first shape state to a second shape state; imaging region setting means for setting an imaging region of the object in the second shape state; deformation image generating means for generating a conversion image by converting the medical image deformed based on the deformation information in accordance with the imaging region; and display image generating means for generating a display image by overlapping the conversion image and the imaging region.
    Type: Grant
    Filed: December 26, 2014
    Date of Patent: September 11, 2018
    Assignee: CANON KABUSHIKI KAISHA
    Inventors: Takaaki Endo, Kiyohide Satoh
  • Patent number: 10074196
    Abstract: A method for reconstructing a three-dimensional image dataset from two-dimensional projection images includes recording the projection images using a collimator downstream of an X-ray source. A local Laplace filter is initially applied to the projection data of the projection images during the reconstruction using filtered back-projection. After this, high-frequency spikes arising in the Laplace-filtered projection data at boundaries to the image region are removed by a spike filter, and a global residual filter is applied. A fit parameter describing a fit function approximating the projection data characteristic in the uncorrected projection images inside the image region is determined based on at least marginal values of the projection data present at the boundaries. Next, following on from the use of the residual filter, an additive correction of the residual-filtered projection data in the image region is performed with the fit function scaled by a scaling factor.
    Type: Grant
    Filed: November 19, 2016
    Date of Patent: September 11, 2018
    Assignee: Siemens Healthcare GmbH
    Inventors: Sebastian Bauer, Andreas Maier, Yan Xia
  • Patent number: 10064591
    Abstract: A novel method for simulating radiation dose reduction that enables previews of low-dose x-ray projection images, low-dose computed tomography images and/or cone-beam CT images. Given an existing projection or set of projections of the patient acquired at a nominal dose, the method provides a means to produce highly accurate preview images that accurately reflect the image quality associated with reduced radiation dose. The low-dose preview image accounts for characteristics of the imaging system, including blur, variations in detector gain and electronic noise, and does so in a manner that yields accurate depiction of the magnitude and correlation of image noise in the preview images. A calibration step may be included to establish the system-specific relationship between the mean and variance in detector signal, and incorporate an accurate model for system blur such that correlations in the resulting LDP images are accurate.
    Type: Grant
    Filed: July 9, 2015
    Date of Patent: September 4, 2018
    Assignee: The Johns Hopkins University
    Inventors: Adam Wang, Jeffrey H. Siewerdsen
  • Patent number: 10068351
    Abstract: Disclosed is a method for determining a position of a brain sulcus in the brain of a patient, the method comprising executing, on at least one processor of at least one computer, steps of: acquiring, at the at least one processor, patient image data describing a digital medical image of at least part of the brain; acquiring, at the at least one processor, atlas data describing an image-based model of the at least part of the brain; determining, by the at least one processor and based on the patient image data and the atlas data, mapping data describing a transformation between the patient image data and the atlas data; and determining, by the at least one processor and based on the patient image data and the atlas data and the mapping data, sulcus position data describing the position of the brain sulcus in the digital medical image.
    Type: Grant
    Filed: February 25, 2016
    Date of Patent: September 4, 2018
    Assignee: Brainlab AG
    Inventors: Rainer Lachner, Mona Frommert
  • Patent number: 10058237
    Abstract: There is provided an image processing device including an edge detection unit configured to detect a boundary point between a first region including a subject to be observed and a second region that does not include the subject, a first estimation unit configured to estimate a first shape as a shape of a boundary between the first region and the second region based on the boundary point, and a second estimation unit configured to estimate a second shape as a shape of a boundary between the first region and the second region based on the boundary point and the estimated first shape.
    Type: Grant
    Filed: February 18, 2015
    Date of Patent: August 28, 2018
    Assignee: SONY CORPORATION
    Inventor: Hiroshi Ichiki
  • Patent number: 10061979
    Abstract: There provides an apparatus for recognizing a head region in a CT lateral image of a subject, comprising: a deriving unit for deriving a first image representing a bone of the subject from the CT lateral image; an extracting unit for extracting a boundary curve indicating an outer contour of a region comprising at least part of the occipital bone and at least part of the cervical vertebra of the subject in the first image; and a determining unit for determining a first pixel position indicating a bottommost point of the head region of the subject, based on a shape feature parameter of the boundary curve.
    Type: Grant
    Filed: September 22, 2015
    Date of Patent: August 28, 2018
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Yue Ma, YanHua Shen, Dan Zhao
  • Patent number: 10055860
    Abstract: A computed tomography (CT) method and apparatus including a radiation source configured to produce radiation directed to an object space, and a plurality of detector elements configured to detect the radiation produced from the radiation source through the object space and generate projection data. A rotation mount is configured to rotate the radiation source around the object space. Processing circuitry is configured to cause the rotation mount to rotate the radiation source, and to receive the projection data. The projection data includes a plurality of projection data sets. The processing circuitry calculates a set of weights based on the projection data sets, calculates a set of pre-weights based on the weights, and minimizes a penalized weighted least-squares cost function to produce a reconstructed image. The cost function is a sum of a weighted least-squares term, weighted using the weights, and a penalty term weighted using the pre-weights.
    Type: Grant
    Filed: May 27, 2016
    Date of Patent: August 21, 2018
    Assignee: TOSHIBA MEDICAL SYSTEMS CORPORATION
    Inventors: Daxin Shi, Yu Zou
  • Patent number: 10055843
    Abstract: A system and methods for detecting polyps using optical images acquired during a colonoscopy. In some aspects, a method includes receiving the set of optical images from the input and generating polyp candidates by analyzing the received set of optical images. The method also includes generating a plurality of image patches around locations associated with each polyp candidate, applying a set of convolutional neural networks to the corresponding image patches, and computing probabilities indicative of a maximum response for each convolutional neural network. The method further includes identifying polyps using the computed probabilities for each polyp candidate, and generating a report indicating identified polyps.
    Type: Grant
    Filed: March 31, 2016
    Date of Patent: August 21, 2018
    Assignees: Mayo Foundation for Medical Education and Research, Arizona Board of Regents on behalf of Arizona State University
    Inventors: Nima Tajbakhsh, Suryakanth R. Gurudu, Jianming Liang
  • Patent number: 10052027
    Abstract: A system and methods for polyp detection using optical colonoscopy images are provided. In some aspects, the system includes an input configured to receive a series of optical images, and a processor configured to process the series of optical images with steps comprising of receiving an optical image from the input, constructing an edge map corresponding to the optical image, the edge map comprising a plurality of edge pixel, and generating a refined edge map by applying a classification scheme based on patterns of intensity variation to the plurality of edge pixels in the edge map. The processor may also process the series with steps of identifying polyp candidates using the refined edge map, computing probabilities that identified polyp candidates are polyps, and generating a report, using the computed probabilities, indicating detected polyps. The system also includes an output for displaying the report.
    Type: Grant
    Filed: June 8, 2017
    Date of Patent: August 21, 2018
    Assignees: Mayo Foundation for Medical Education and Research, Arizona Board of Regents on behalf of Arizona State University
    Inventors: Nima Tajbakhsh, Jianming Liang, Suryakanth R. Gurudu
  • Patent number: 10055842
    Abstract: Methods, apparatus, and other embodiments distinguish disease phenotypes and mutational status using co-occurrence of local anisotropic gradient orientations (CoLIAGe) and Laws features. One example apparatus includes a set of circuits that acquires a radiologic image (e.g., MRI image) of a region of tissue demonstrating breast cancer, computes a gradient orientation for a pixel in the MRI image, computes a significant orientation for the pixel based on the gradient orientation, constructs a feature vector that captures a discretized entropy distribution for the image based on the significant orientation, extracts a set of texture features from the MRI image, and classifies the phenotype of the breast cancer based on the feature vector and the set of texture features. Embodiments of example apparatus may generate and display a heatmap of entropy values for the image. Example methods and apparatus may operate substantially in real-time, or may operate in two, three, or more dimensions.
    Type: Grant
    Filed: January 3, 2017
    Date of Patent: August 21, 2018
    Assignee: Case Western Reserve University
    Inventors: Prateek Prasanna, Nathaniel Braman, Anant Madabhushi, Vinay Varadan, Lyndsay Harris, Salendra Singh
  • Patent number: 10045754
    Abstract: A method includes determining a registration transform between first three dimensional pre-scan image data and second three dimensional pre-scan image data based on a predetermined registration algorithm. The method further includes registering first volumetric scan image data and second volumetric scan image data based on the registration transform. The method further includes generating registered image data. A system (100) includes a pre-scan registerer (122) that determines a registration transform between first three dimensional pre-scan image data and second three dimensional pre-scan image data based on a predetermined registration algorithm. The system further includes a volume registerer (126) that registers first volumetric scan image data and second volumetric scan image data based on the registration transform, generating registered image data.
    Type: Grant
    Filed: November 25, 2014
    Date of Patent: August 14, 2018
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Tobias Klinder, Cristian Lorenz, Martin Bergtholdt, Rafael Wiemker
  • Patent number: 10048344
    Abstract: In a method and magnetic resonance (MR) apparatus for producing an MR image of an examination object with an MR imaging sequence, at least one RF pulse is radiated by a whole body coil of the MR scanner of the MR apparatus during the imaging sequence, at least one RF pulse is radiated by a local transmit coil of the MR scanner during the imaging sequence, MR signals that are generated by the combined radiated RF pulses are read out, and an MR image is reconstructed from the read-out MR signals.
    Type: Grant
    Filed: May 22, 2015
    Date of Patent: August 14, 2018
    Assignee: Siemens Aktiengesellschaft
    Inventor: Mathias Nittka
  • Patent number: 10045728
    Abstract: Methods and systems for identifying blobs, for example kidney glomeruli, are disclosed. A raw image may be smoothed via a difference of Gaussians filter, and a Hessian analysis may be conducted on the smoothed image to mark glomeruli candidates. Exemplary candidate features are identified, such as average intensity AT, likelihood of blobness RT, and flatness ST. A clustering algorithm may be utilized to post prune the glomeruli candidates.
    Type: Grant
    Filed: March 28, 2016
    Date of Patent: August 14, 2018
    Assignee: Arizona Board of Regents on behalf of Arizona State University
    Inventors: Teresa Wu, Min Zhang
  • Patent number: 10045747
    Abstract: The disclosure is directed at a method and apparatus for a flat panel X-ray imaging detector. In one embodiment, the apparatus includes three (3) layers including a top layer, an intermediate layer and a bottom layer. The top layer generates a top layer image; the intermediate layer generates an intermediate layer image; and the bottom layer generates a bottom layer image. The intermediate layer also operates simultaneously as an intermediate X-ray energy filter.
    Type: Grant
    Filed: February 17, 2017
    Date of Patent: August 14, 2018
    Inventors: Karim S Karim, Ian A. Cunningham, Sebastian Lopez Maurino
  • Patent number: 10049446
    Abstract: A method for reconstructing a volume image of a subject, executed at least in part by a computer, accesses projection x-ray images of the subject and performs a volume image reconstruction using the x-ray images by iteratively performing alternating steps of a tomographic update, where a gradient based algorithm having a preconditioner is used to update the volume image reconstruction and a spatially varying denoising that is a function of the preconditioner. The method displays, stores, or transmits the volume image reconstruction.
    Type: Grant
    Filed: December 18, 2015
    Date of Patent: August 14, 2018
    Assignee: Carestream Health, Inc.
    Inventor: Richard A. Simon
  • Patent number: 10048340
    Abstract: A system and method for creating magnetic resonance images are provided. The system applies an RF irradiation during a saturation time period at a reference frequency that saturates a range of selected labile spin species of the subject. The system encodes frequency offsets by applying a gradient G1 at least during the saturation time period. The system applies a plurality of slice selection gradients accompanied by a train of RF pulses during a voxel selection time period and a gradient G3 during an acquisition time period. One or more spin/gradient echo signals having information pertaining to at least one of metabolites and metabolite byproducts is acquired to form a CEST medical imaging data set and the CEST medical imaging data set is reconstructed to form a CEST image of the subject including information about the at least one of metabolites and metabolite byproducts within the subject.
    Type: Grant
    Filed: June 3, 2016
    Date of Patent: August 14, 2018
    Assignee: The General Hospital Corporation
    Inventors: Phillip Z. Sun, Iris Y. Zhou
  • Patent number: 10045755
    Abstract: A perfusion analysis system includes a perfusion modeller and a user interface. The perfusion modeller generates a patient specific perfusion model based on medical imaging perfusion data for the patient, a general perfusion model, and a quantification of one or more identified pathologies of the patient that affect perfusion in the patient. The user interface accepts an input indicative of a modification to the quantification of the one or more identified pathologies. In response, the perfusion modeller updates the patient specific perfusion model based on the medical imaging perfusion data for the patient, the general perfusion model, and the quantification of the one or more identified pathologies of the patient, including the modification thereto.
    Type: Grant
    Filed: May 22, 2014
    Date of Patent: August 14, 2018
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Kirsten Meetz, Ingwer Carlsen, Heinrich Schulz, Rafael Wiemker, Stewart Young
  • Patent number: 10043294
    Abstract: An image processing device that includes: an acquiring section that acquires a plurality of projection images in which a subject between a radiation detector and a radiation applying unit has, as a result of the radiation applying unit being moved to thereby change an angle of incidence, with respect to the subject, of radiation applied from the radiation applying unit, been imaged at each different angle of incidence; a processing section that performs frequency processing that attenuates, relative to a high-frequency component, a low-frequency component of projection images in which the angle of incidence is equal to or greater than a first threshold; and a tomographic image generating section that generates tomographic images of the subject by image reconstruction from projection images in which the angle of incidence is less than the first threshold and from the frequency-processed projection images.
    Type: Grant
    Filed: June 8, 2015
    Date of Patent: August 7, 2018
    Assignee: FUJIFILM CORPORATION
    Inventor: Wataru Fukuda
  • Patent number: 10042959
    Abstract: Exemplary systems and methods to improve capture of relationships within information are provided. In various embodiments, a system comprises a landmark module configured to choose a set of landmarks from data in a finite metric space, the set of landmarks being a subset of points in the finite metric space, a nearest neighbor module configured to compute, for each landmark, a predetermined number of nearest neighbor landmarks in the set of landmarks, a graph construction module configured to identify at least one pair of landmarks that are nearest neighbors to each other, an edge generator module configured to add an edge between the at least one pair of landmarks, and a non-landmark projection module configured to project non-landmark points based on the landmarks and one or more edges thereby enabling at least one shape to indicate relationships in the data.
    Type: Grant
    Filed: March 5, 2015
    Date of Patent: August 7, 2018
    Assignee: Ayasdi, Inc.
    Inventors: Harlan Sexton, Jennifer Kloke
  • Patent number: 10039510
    Abstract: A method for visualizing airway wall abnormalities includes acquiring\Dual Energy Computed Tomography (DECT) imaging data comprising one or more image volumes representative of a bronchial tree. An iodine map is derived using the DECT imaging data and the bronchial tree is segmented from the image volume(s). A tree model representative of the bronchial tree is generated. Then, for each branch, this tree model is used to determine an indicator of normal or abnormal thickness. Locations corresponding to bronchial walls in the bronchial tree using the tree model are identified. Next, for each branch, the locations corresponding to bronchial walls in the bronchial tree and the iodine map are used to determine an indicator of normal or abnormal inflammation. A visualization of the bronchial tree may be presented with visual indicators at each of the locations corresponding to bronchial walls indicating whether a bronchial wall is thickened and/or inflamed.
    Type: Grant
    Filed: August 17, 2016
    Date of Patent: August 7, 2018
    Assignee: Siemens Healthcare GmbH
    Inventors: Carol Novak, Benjamin Odry, Atilla Kiraly
  • Patent number: 10037603
    Abstract: A method and apparatus for whole body bone removal and vasculature visualization in medical image data, such as computed tomography angiography (CTA) scans, is disclosed. Bone structures are segmented in the a 3D medical image, resulting in a bone mask of the 3D medical image. Vessel structures are segmented in the 3D medical image, resulting in a vessel mask of the 3D medical image. The bone mask and the vessel mask are refined by fusing information from the bone mask and the vessel mask. Bone voxels are removed from the 3D medical image using the refined bone mask, in order to generate a visualization of the vessel structures in the 3D medical image.
    Type: Grant
    Filed: May 4, 2015
    Date of Patent: July 31, 2018
    Assignee: Siemens Healthcare GmbH
    Inventors: Nathan Lay, David Liu, Shaohua Kevin Zhou, Bernhard Geiger, Li Zhang, Vincent Ordy, Daguang Xu, Chris Schwemmer, Philipp Wolber, Noha Youssry El-Zehiry
  • Patent number: 10032272
    Abstract: A workstation, a medical imaging apparatus including the same, and a control method for the same includes an input unit that receives information about a contour of an organ in a medical image obtained by imaging a subject and a control unit that corrects the contour of the organ in such a manner that the contour of the organ does not cross contours of one or more other organs located inside or outside the organ.
    Type: Grant
    Filed: February 23, 2016
    Date of Patent: July 24, 2018
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Hyun Hee Jo, Seon Mi Park, Je Yong Shin, Se Jin Yoo
  • Patent number: 10032281
    Abstract: Multi-scale deep reinforcement learning generates a multi-scale deep reinforcement model for multi-dimensional (e.g., 3D) segmentation of an object. In this context, segmentation is formulated as learning an image-driven policy for shape evolution that converges to the object boundary. The segmentation is treated as a reinforcement learning problem, and scale-space theory is used to enable robust and efficient multi-scale shape estimation. By learning an iterative strategy to find the segmentation, the learning challenges of end-to-end regression systems may be addressed.
    Type: Grant
    Filed: July 27, 2017
    Date of Patent: July 24, 2018
    Assignee: Siemens Healthcare GmbH
    Inventors: Florin Cristian Ghesu, Bogdan Georgescu, Dorin Comaniciu
  • Patent number: 10032295
    Abstract: A tomography apparatus and a method of processing a tomography image are provided. The tomography apparatus includes a data acquirer configured to acquire a first image corresponding to a first time point and a second image corresponding to a second time point, based on data that is obtained from performing tomography on a moving object, acquire first information indicating a movement of the object between the first time point and the second time point, and determine a motion reliability indicating a degree to which the movement of the object corresponds to a physical movement, based on the first information. The tomography apparatus further includes an image reconstructor configured to reconstruct a target image indicating the object at a target time point, based on the motion reliability.
    Type: Grant
    Filed: February 8, 2016
    Date of Patent: July 24, 2018
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Duhgoon Lee, Kyoung-yong Lee, Doil Kim
  • Patent number: 10024717
    Abstract: A system for determining a spectrum includes an interface and a processor. The interface is configured to receive a sample set of intensity data for an array of spatial locations and a set of spectral configurations. The processor is configured to determine a region of interest using the sample set of intensity data and determine a spectral peak for the region of interest.
    Type: Grant
    Filed: November 10, 2016
    Date of Patent: July 17, 2018
    Assignee: TruTag Technologies, Inc.
    Inventors: Timothy Learmonth, Mark Hsu, Denis Ivanov
  • Patent number: 10026168
    Abstract: A medical scanning system and method for determining scanning parameters based on a scout image, the system includes: a scanned object description module for describing the shape of a scanned object on an initial image; an adjustment module for aligning the shape of the scanned object with the pre-stored average shape; a principal component analysis module for extracting the principal component for the aligned shape of the scanned object; a desired shape acquisition module for imparting weight parameters to said principal component, acquiring a plurality of new shapes, and from said plurality of new shapes, determining the new shape with the maximum cost function value as the desired shape and a scanning parameter setting module for setting scanning parameters based on the desired shape.
    Type: Grant
    Filed: March 10, 2015
    Date of Patent: July 17, 2018
    Assignee: General Electric Company
    Inventors: Ping Liu, Jiaqin Dong, Jie Wu
  • Patent number: 10024943
    Abstract: According to one embodiment, an MRI apparatus includes a gradient coil, an RF coil, an RF receiver, and processing circuitry which controls these components to perform each pulse sequence. The processing circuitry sets a main-scan pulse sequence, a first pulse sequence which includes application of a gradient magnetic field in a readout direction, and a second pulse sequence which includes application of the gradient magnetic field in a readout direction, and whose acquisition region is shifted from the first pulse sequence. The processing circuitry reconstructs image data of the main scan, based on magnetic resonance signals acquired by the main-scan pulse sequence and phase difference data in the readout direction between first k-space data generated from the magnetic resonance signals acquired by the first pulse sequence and second k-space data generated from the magnetic resonance signals acquired by the second pulse sequence.
    Type: Grant
    Filed: December 14, 2015
    Date of Patent: July 17, 2018
    Assignee: TOSHIBA MEDICAL SYSTEMS CORPORATION
    Inventors: Yutaka Machii, Hiroshi Kusahara, Yoshimori Kassai
  • Patent number: 10026220
    Abstract: For occlusion handing in lightfield rendering, layered lightfields are created. Rather than use one lightfield for one camera position and orientation, multiple lightfields representing different depths or surfaces at different depths relative to that camera position and orientation are created. By using layered lightfields for the various camera positions and orientations, the camera may be located within the convex hull or scanned object. The depths of the layers are used to select the lightfields for a given camera position and location.
    Type: Grant
    Filed: May 18, 2016
    Date of Patent: July 17, 2018
    Assignee: Siemens Healthcare GmbH
    Inventor: Christoph Vetter
  • Patent number: 10024942
    Abstract: In a magnetic resonance (MR) apparatus and method to evaluate the consistency of a signal model used to generate a quantitative parameter map, the residual of the quantitative parameter map is calculated and a residual map is generated. The residual map is displayed together with the quantitative parameter map, with the residual map serving as an indicator of the quality of fit of the signal model.
    Type: Grant
    Filed: March 11, 2015
    Date of Patent: July 17, 2018
    Assignee: Siemens Healthcare GmbH
    Inventors: Stephan Kannengie├čer, Marcel Dominik Nickel, Xiaodong Zhong
  • Patent number: 10019818
    Abstract: A method, a non-transitory computer-readable storage medium, and an image processing apparatus are provided for performing iterative reconstruction to generate a medical image. The method includes generating, by circuitry of the image processing apparatus, a first image data set by separately back projecting subsets of a first view data set. Each of the subsets of the first view data set corresponds to one of a plurality of different non-overlapping sections of the medical image to be reconstructed. The method further includes generating, by the circuitry, a second view data set by separately forward projecting subsets of the first image data set. Each of the subsets of the first image data set corresponds to one of the sections of the medical image to be reconstructed. Further, the step of generating the second view data set starts before the step of generating the first image data set is completed.
    Type: Grant
    Filed: March 12, 2015
    Date of Patent: July 10, 2018
    Assignee: Toshiba Medical Systems Corporation
    Inventor: Peter D. Sulatycke
  • Patent number: 10019811
    Abstract: An image processing apparatus obtains a plurality of corresponding information items for registration of a first image and a second image of an object, calculates, in a case where the first image and the second image are registered using corresponding information items remaining after excluding at least one corresponding information item from the plurality of corresponding information items, a registration error that occurs at a position of the excluded corresponding information item, and estimates a registration error at an arbitrary position in a case where the first image and the second image are registered using the plurality of corresponding information items based on the calculated registration error.
    Type: Grant
    Filed: December 17, 2015
    Date of Patent: July 10, 2018
    Assignee: CANON KABUSHIKI KAISHA
    Inventors: Takaaki Endo, Kiyohide Satoh, Ryo Ishikawa
  • Patent number: 10013780
    Abstract: An imaging system includes a computed tomography (CT) acquisition unit and at least one processor. The CT acquisition unit includes an X-ray source and a CT detector configured to collect CT imaging data of an object. The at least one processor is operably coupled to the CT acquisition unit, and configured to reconstruct an initial image using the CT imaging information, the initial image including at least one object representation portion and at least one artifact portion; identify at least one region of the initial image containing at least one artifact and isolate the at least one artifact by analyzing the initial image using an artifact dictionary and a non-artifact dictionary, the artifact dictionary including entries describing corresponding artifact image portions, the non-artifact dictionary including entries defining corresponding non-artifact image portions; and remove the at least one artifact from the initial image to provide a corrected image.
    Type: Grant
    Filed: February 29, 2016
    Date of Patent: July 3, 2018
    Assignees: General Electric Company, Wisconsin Alumni Research Foundation
    Inventors: Jiang Hsieh, GuangHong Chen
  • Patent number: 10010255
    Abstract: Systems and methods are disclosed for determining individual-specific blood flow characteristics. One method includes acquiring, for each of a plurality of individuals, individual-specific anatomic data and blood flow characteristics of at least part of the individual's vascular system; executing a machine learning algorithm on the individual-specific anatomic data and blood flow characteristics for each of the plurality of individuals; relating, based on the executed machine learning algorithm, each individual's individual-specific anatomic data to functional estimates of blood flow characteristics; acquiring, for an individual and individual-specific anatomic data of at least part of the individual's vascular system; and for at least one point in the individual's individual-specific anatomic data, determining a blood flow characteristic of the individual, using relations from the step of relating individual-specific anatomic data to functional estimates of blood flow characteristics.
    Type: Grant
    Filed: July 1, 2016
    Date of Patent: July 3, 2018
    Assignee: HeartFlow, Inc.
    Inventors: Timothy Fonte, Gilwoo Choi, Leo Grady, Michael Singer
  • Patent number: 10013759
    Abstract: A method is for processing a first image data set including a first image value tuple associated with a volume element of a region of an object to be imaged. In an embodiment, a second image data set is generated based upon the first image data set, including a second image value tuple associated with the volume element, a base material decomposition being capable of being carried based upon the second image data set and based upon a base material set; a starting area and a target area are selected as a function of the base material set, the first image value tuple being located in the starting area; the second image value tuple is ascertained based upon the first image value tuple, the second image value tuple being associated with the first image value tuple via image value tuple imaging and being located in the target area.
    Type: Grant
    Filed: November 23, 2016
    Date of Patent: July 3, 2018
    Assignee: SIEMENS HEALTHCARE GMBH
    Inventors: Thomas Allmendinger, Thomas Flohr, Bernhard Krauss, Bernhard Schmidt
  • Patent number: 10010249
    Abstract: The disclosure herein provides methods, systems, and devices for improving optical coherence tomography machine outputs through multiple enface optical coherence tomography angiography averaging techniques. The embodiments disclosed herein can be utilized in ophthalmology for employing optical coherence tomography (OCT) for in vivo visualization of blood vessels and the flow of blood in an eye of a patient, which is also known generally as optical coherence tomography angiography (OCTA).
    Type: Grant
    Filed: March 21, 2018
    Date of Patent: July 3, 2018
    Assignee: Doheny Eye Institute
    Inventors: SriniVas R. Sadda, Akihito Uji
  • Patent number: 10013770
    Abstract: The invention relates to a medical data processing method for determining the position of a region of interest serving as a start condition for conducting diffusion image-based tracking of nerve fibers. In one example, the method encompasses comparing a set of tracked nerve fibers to a model of nerve fibers contained in atlas data.
    Type: Grant
    Filed: February 19, 2015
    Date of Patent: July 3, 2018
    Assignee: Brainlab AG
    Inventors: Thomas Seiler, Katrin Stedele
  • Patent number: 10005226
    Abstract: A server is configured to store a number of different models of an object in machine-ready form corresponding to a number of different three-dimensional printers having differing capabilities and/or hardware configurations. When a user at a client device or a printer requests the object, the server automatically determines a printer type and selects a suitable, corresponding machine-ready model for immediate fabrication by the printer.
    Type: Grant
    Filed: December 18, 2017
    Date of Patent: June 26, 2018
    Assignee: MakerBot Industries, LLC
    Inventors: Nathaniel B. Pettis, Anthony James Buser, Justin Day, Jonah Gold, Bryan Vaccaro, Joseph Neal
  • Patent number: 10007988
    Abstract: Facial approximation systems and methods for approximating the soft tissue profile of the skull of an unknown subject.
    Type: Grant
    Filed: February 27, 2015
    Date of Patent: June 26, 2018
    Assignee: The Board of Regents of the Nevada System of Higher Education on Behalf of the University of Nevada, Las Vegas
    Inventor: James Mah
  • Patent number: 10008012
    Abstract: Methods and apparatus, including computer programs encoded on a computer storage medium, for image reconstruction are provided. The methods include: accessing a first set of projection data including a plurality of first projection data each corresponding to a respective projection angle of a plurality of projection angles, generating a first set of reconstructed data by image reconstruction with the first set of projection data, generating a second set of projection data comprising a plurality of second projection data each corresponding to a respective projection angle by projection calculation with the first set of reconstructed data, generating a third set of projection data by optimizing the first set of projection data based on a correlation between respective first projection data and respective second projection data corresponding to each projection angle, and generating a second set of reconstructed data by image reconstruction with the third set of projection data.
    Type: Grant
    Filed: December 1, 2016
    Date of Patent: June 26, 2018
    Assignee: Shenyang Neusoft Medical Systems Co., Ltd.
    Inventors: Haoda Ding, Hongyu Guo, Hongbing Hu
  • Patent number: 10002180
    Abstract: An exemplary method comprises receiving data points, selecting a first subset of the data points to generate an initial set of landmarks, each data point of the first subset defining a landmark point and for each non-landmark data point: calculating first data point distances between a respective non-landmark data point and each landmark point of the initial set of landmarks, identifying a first shortest data point distance from among the first data point distances between the respective non-landmark data point and each landmark point of the initial set of landmarks, and storing the first shortest data point distance as a first landmark distance for the respective non-landmark data point. The method further comprising identifying a non-landmark data point with a longest first landmark distance in comparison with other first landmark distances and adding the identified non-landmark data point associated as a first landmark point to the initial set of landmarks.
    Type: Grant
    Filed: October 15, 2015
    Date of Patent: June 19, 2018
    Assignee: Ayasdi, Inc.
    Inventors: Harlan Sexton, Jennifer Kloke
  • Patent number: 9996926
    Abstract: The present invention relates to a method of quantifying a lean tissue volume comprising the steps of acquiring (10) a acquired image as a water-fat separated magnetic resonance image, wherein the acquired image comprises a water image and a fat image, providing (20) a calibrated fat image (F), providing (30) a soft tissue mask (STM) defining areas of soft tissue in the acquired image, and defining (40) a region of interest (ROI) of the acquired image. The method further comprises a step of calculating (50) a lean tissue volume (LTV) by multiplying, for each volume element in the region of interest, the soft tissue mask with the volume (Vvox) of each volume element and the result of one minus the calibrated fat image, and summarizing the products of said multiplications for all volume elements in the region of interest.
    Type: Grant
    Filed: April 21, 2015
    Date of Patent: June 12, 2018
    Assignee: ADVANCED MR ANALYTICS AB
    Inventors: Olof Dahlqvist Leinhard, Magnus Borga, Thobias Romu
  • Patent number: 9993216
    Abstract: A method for creating a resultant image for a specifiable, virtual x-ray quanta energy distribution includes capturing a first image dataset of the patient, capturing at least one second image dataset of the patient, and specifying a virtual x-ray quanta energy distribution. The method also includes establishing a spatial density distribution of the patient for at least two materials based on the first image dataset and the at least one second image dataset. The method includes creating a third image dataset of the patient based on the specified virtual x-ray quanta energy distribution and the established spatial material density distributions. The third image dataset represents an x-ray attenuation distribution of the patient corresponding to the specified virtual x-ray quanta energy distribution. The method also includes creating the virtual image from the third image dataset.
    Type: Grant
    Filed: March 12, 2016
    Date of Patent: June 12, 2018
    Assignee: Siemens Aktiengesellschaft
    Inventors: Thomas Flohr, Steffen Kappler, Rainer Raupach, Bernhard Schmidt
  • Patent number: 9998666
    Abstract: System and Method for automatically removing blur and noise in a plurality of digital images. The system comprises an electronic processor configured to receive the plurality of digital images, perform motion estimation and motion compensation to align the plurality of digital images, determine an alignment of the plurality of digital images with respect to a reference frame, generate a consistency map based on the alignment of the plurality of digital images with respect to the reference frame, combine the plurality of digital images aligned with respect to the reference frame in the Fourier domain using a quality of alignment information from the consistency map to generate an aggregated frame, and apply a post-processing filter to enhance the quality of the aggregated frame.
    Type: Grant
    Filed: August 26, 2016
    Date of Patent: June 12, 2018
    Assignee: Duke University
    Inventors: Guillermo Sapiro, Mauricio Delbracio
  • Patent number: 9984465
    Abstract: The present application relates to a method and system for analyzing blood flow conditions. The method includes: obtaining images at multiple time phases; constructing multiple vascular models corresponding to the multiple time phases; correlating the multiple vascular models; setting boundary conditions of the multiple vascular models respectively based on the result of correlation; and determining condition of blood vessel of the vascular models.
    Type: Grant
    Filed: November 10, 2017
    Date of Patent: May 29, 2018
    Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.
    Inventors: Jieyan Ma, Yuan Ren, Hongjian Wang
  • Patent number: 9986236
    Abstract: An apparatus (e.g., a computer device) includes a video coding system. The video coding system includes an encoder. The encoder is configured to partition a block of video data into a first partition and a second partition, the first partition and the second partition being divided by a border that is at an angle to an orientation of a row or column of pixels, determine a first motion vector for the first partition and a second motion vector for the second partition, determine a first set of predictor values based on the first motion vector and a second set of predictor values based on the second motion vector, and combine the first set of predictor values and the second set of predictor values into an overall set of predictor values based on a weighting algorithm.
    Type: Grant
    Filed: November 19, 2013
    Date of Patent: May 29, 2018
    Assignee: GOOGLE LLC
    Inventors: Debargha Mukherjee, Jim Bankoski