Patents by Inventor Daniel H. Turnbull

Daniel H. Turnbull has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10354380
    Abstract: A method to characterize shape variations in brain ventricles during embryonic growth in mammals, the method including extracting a brain ventricle skeleton from one or more images, calculating a volume profile for the skeleton using the extracted images, partitioning the brain ventricle based on the volume profile along the skeleton, the brain ventricle being partitioned into two lateral ventricles and a main ventricle, the main ventricle being further partitioned into three sub regions, determining volume vectors of the two lateral ventricles and the three sub regions, computing a means square error between the determined computed volume vectors and a pretrained mean volume vector of embryos during different gestational stages, and classifying the embryo to the gestational stage having the lowest mean square error.
    Type: Grant
    Filed: July 9, 2018
    Date of Patent: July 16, 2019
    Assignees: Riverside Research Institute, New York University
    Inventors: Jen-wei Kuo, Jonathan Mamou, Jeffrey A. Ketterling, Orlando Aristizabal, Daniel H. Turnbull, Yao Wang
  • Patent number: 10157466
    Abstract: A method to segment images that contain multiple objects in a nested structure including acquiring an image; defining the multiple objects by layers, each layer corresponding to one region, where a region contains an innermost object and all the objects nested within the innermost object; stacking the layers in an order of the nested structure of the multiple objects, the stack of layers having at least a top layer and a bottom layer; extending each layer with padded nodes; connecting the top layer to a sink and the bottom layer to a source, wherein each intermediate layer between the top layer and the bottom layer are connected only to the adjacent layer by undirected links; and measuring a boundary length for each layer.
    Type: Grant
    Filed: January 23, 2017
    Date of Patent: December 18, 2018
    Assignees: Riverside Research Institute, New York University
    Inventors: Jen-wei Kuo, Jonathan Mamou, Xuan Zhao, Jeffrey A. Ketterling, Orlando Aristizabal, Daniel H. Turnbull, Yao Wang
  • Patent number: 10140708
    Abstract: A method to characterize shape variations in brain ventricles during embryonic growth in mammals, the method including extracting a brain ventricle skeleton from one or more images, calculating a volume profile for the skeleton using the extracted images, partitioning the brain ventricle based on the volume profile along the skeleton, the brain ventricle being partitioned into two lateral ventricles and a main ventricle, the main ventricle being further partitioned into three sub regions, determining volume vectors of the two lateral ventricles and the three sub regions, computing a means square error between the determined computed volume vectors and a pretrained mean volume vector of embryos during different gestational stages, and classifying the embryo to the gestational stage having the lowest mean square error.
    Type: Grant
    Filed: January 23, 2017
    Date of Patent: November 27, 2018
    Assignee: Riverside Research Institute
    Inventors: Jen-wei Kuo, Jonathan Mamou, Jeffrey A. Ketterling, Orlando Aristizabal, Daniel H. Turnbull, Yao Wang
  • Publication number: 20180336681
    Abstract: A method to characterize shape variations in brain ventricles during embryonic growth in mammals, the method including extracting a brain ventricle skeleton from one or more images, calculating a volume profile for the skeleton using the extracted images, partitioning the brain ventricle based on the volume profile along the skeleton, the brain ventricle being partitioned into two lateral ventricles and a main ventricle, the main ventricle being further partitioned into three sub regions, determining volume vectors of the two lateral ventricles and the three sub regions, computing a means square error between the determined computed volume vectors and a pretrained mean volume vector of embryos during different gestational stages, and classifying the embryo to the gestational stage having the lowest mean square error.
    Type: Application
    Filed: July 9, 2018
    Publication date: November 22, 2018
    Applicants: Riverside Research Institute, New York University
    Inventors: Jen-wei Kuo, Jonathan Mamou, Jeffrey A. Ketterling, Orlando Aristizabal, Daniel H. Turnbull, Yao Wang
  • Publication number: 20170213340
    Abstract: A method to characterize shape variations in brain ventricles during embryonic growth in mammals, the method including extracting a brain ventricle skeleton from one or more images, calculating a volume profile for the skeleton using the extracted images, partitioning the brain ventricle based on the volume profile along the skeleton, the brain ventricle being partitioned into two lateral ventricles and a main ventricle, the main ventricle being further partitioned into three sub regions, determining volume vectors of the two lateral ventricles and the three sub regions, computing a means square error between the determined computed volume vectors and a pretrained mean volume vector of embryos during different gestational stages, and classifying the embryo to the gestational stage having the lowest mean square error.
    Type: Application
    Filed: January 23, 2017
    Publication date: July 27, 2017
    Applicants: Riverside Research Institute, New York University
    Inventors: Jen-wei Kuo, Jonathan Mamou, Jeffrey A. Ketterling, Orlando Aristizabal, Daniel H. Turnbull, Yao Wang
  • Publication number: 20170213349
    Abstract: A method to segment images that contain multiple objects in a nested structure including acquiring an image; defining the multiple objects by layers, each layer corresponding to one region, where a region contains an innermost object and all the objects nested within the innermost object; stacking the layers in an order of the nested structure of the multiple objects, the stack of layers having at least a top layer and a bottom layer; extending each layer with padded nodes; connecting the top layer to a sink and the bottom layer to a source, wherein each intermediate layer between the top layer and the bottom layer are connected only to the adjacent layer by undirected links; and measuring a boundary length for each layer.
    Type: Application
    Filed: January 23, 2017
    Publication date: July 27, 2017
    Applicants: Riverside Research Institute, New York University
    Inventors: Jen-wei Kuo, Jonathan Mamou, Xuan Zhao, Jeffrey A. Ketterling, Orlando Aristizabal, Daniel H. Turnbull, Yao Wang
  • Patent number: 5412854
    Abstract: A high frequency focused transducer may be formed by fabricating a piezoelectric or ferroelectric wafer of a thickness less than about 100 microns and bonding a malleable sheet to the wafer with a thin layer of adhesive. Thereafter, the composite may be pressed into a spherical mold to form a curved transducer without fracturing the wafer. In another embodiment, a conductive adhesive layer may be applied to the wafer to a thickness sufficient to hold the wafer in a curved state, when set. After the adhesive is set, the composite may be pressed into the mold while the adhesive is held at an elevated temperature whereat it is elastic. Thereafter the composite is cooled so that the adhesive layer is stabilized and the curved transducer is removed from the well.
    Type: Grant
    Filed: June 18, 1993
    Date of Patent: May 9, 1995
    Assignees: Humphrey Instruments, Inc., Sunnybrook Health Science Centre
    Inventors: Geoff R. Lockwood, Daniel H. Turnbull, F. Stuart Foster