Patents by Inventor Joseph Owen Deasy

Joseph Owen Deasy 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: 11804021
    Abstract: Described herein are systems and methods of processing immobilization molds for application of treatment, A computing system may generate a three-dimensional mold model of immobilization mold within with a subject is to be positioned for application of a treatment. The computing system may subtract a three-dimensional scan of at least a portion of the subject from the three-dimensional mold model to define an opening therein. The computing system may remove, from the three-dimensional mold model, a first portion to define an imprint in the opening from a first axis along which the subject is to enter. The computing system may remove, from a second portion of the three-dimensional mold model remaining with the removal of the first portion, inward protrusions into the imprint of relative to the second axis intersecting the first axis.
    Type: Grant
    Filed: January 30, 2023
    Date of Patent: October 31, 2023
    Assignee: Memorial Sloan Kettering Cancer Center
    Inventors: Joseph Owen Deasy, Paul R. Booth, Nancy Lee, Dale Michael Lovelock
  • Publication number: 20230169743
    Abstract: Described herein are systems and methods of processing immobilization molds for application of treatment, A computing system may generate a three-dimensional mold model of immobilization mold within with a subject is to be positioned for application of a treatment. The computing system may subtract a three-dimensional scan of at least a portion of the subject from the three-dimensional mold model to define an opening therein. The computing system may remove, from the three-dimensional mold model, a first portion to define an imprint in the opening from a first axis along which the subject is to enter. The computing system may remove, from a second portion of the three-dimensional mold model remaining with the removal of the first portion, inward protrusions into the imprint of relative to the second axis intersecting the first axis.
    Type: Application
    Filed: January 30, 2023
    Publication date: June 1, 2023
    Applicant: MEMORIAL SLOAN KETTERING CANCER CENTER
    Inventors: Joseph Owen DEASY, Paul R. BOOTH, Nancy LEE, Dale Michael LOVELOCK
  • Patent number: 11568618
    Abstract: Described herein are systems and methods of processing immobilization molds for application of treatment, A computing system may generate a three-dimensional mold model of immobilization mold within with a subject is to be positioned for application of a treatment. The computing system may subtract a three-dimensional scan of at least a portion of the subject from the three-dimensional mold model to define an opening therein. The computing system may remove, from the three-dimensional mold model, a first portion to define an imprint in the opening from a first axis along which the subject is to enter. The computing system may remove, from a second portion of the three-dimensional mold model remaining with the removal of the first portion, inward protrusions into the imprint of relative to the second axis intersecting the first axis.
    Type: Grant
    Filed: July 27, 2018
    Date of Patent: January 31, 2023
    Assignee: Memorial Sloan Kettering Cancer Center
    Inventors: Joseph Owen Deasy, Paul R. Booth, Nancy Lee, Dale Michael Lovelock
  • Patent number: 11013475
    Abstract: Described herein are systems and methods for synthetic CT image creation that allow MR-only radiotherapy of cancer patients, e.g., head and neck (H&N) cancer patients, prostate cancer patients, patients with cancer of the pelvis, abdomen cancer patients, patients with cancer of the extremities, brain cancer patients, or thorax cancer patients. The methods and systems described herein feature image processing techniques that improve the similarity between CT and MR images prior to CT-MR image registration, as well as standardization of the MR intensity histograms prior to MR-MR registration. Application of the techniques result in more accurate assignment of the Hounsfield unit to each point in the synthetic CT compared to other atlas-based methods, providing for more accurate dosing in MR-only radiotherapy simulation and planning.
    Type: Grant
    Filed: November 10, 2017
    Date of Patent: May 25, 2021
    Assignee: Memorial Sloan Kettering Cancer Center
    Inventors: Margie A. Hunt, Joseph Owen Deasy, Reza Farjam, Aditya Apte, Neelam Tyagi, Harini Veeraraghavan, Kristen L. Zakian
  • Publication number: 20210090716
    Abstract: Described herein are systems and methods of processing immobilization molds for application of treatment, A computing system may generate a three-dimensional mold model of immobilization mold within with a subject is to be positioned for application of a treatment. The computing system may subtract a three-dimensional scan of at least a portion of the subject from the three-dimensional mold model to define an opening therein. The computing system may remove, from the three-dimensional mold model, a first portion to define an imprint in the opening from a first axis along which the subject is to enter. The computing system may remove, from a second portion of the three-dimensional mold model remaining with the removal of the first portion, inward protrusions into the imprint of relative to the second axis intersecting the first axis.
    Type: Application
    Filed: July 27, 2018
    Publication date: March 25, 2021
    Applicant: MEMORIAL SLOAN KETTERING CANCER CENTER
    Inventors: Joseph Owen DEASY, Paul R. BOOTH, Nancy LEE, Dale Michael LOVELOCK
  • Publication number: 20190365335
    Abstract: Described herein are systems and methods for synthetic CT image creation that allow MR-only radiotherapy of cancer patients, e.g., head and neck (H&N) cancer patients, prostate cancer patients, patients with cancer of the pelvis, abdomen cancer patients, patients with cancer of the extremities, brain cancer patients, or thorax cancer patients. The methods and systems described herein feature image processing techniques that improve the similarity between CT and MR images prior to CT-MR image registration, as well as standardization of the MR intensity histograms prior to MR-MR registration. Application of the techniques result in more accurate assignment of the Hounsfield unit to each point in the synthetic CT compared to other atlas-based methods, providing for more accurate dosing in MR-only radiotherapy simulation and planning.
    Type: Application
    Filed: November 10, 2017
    Publication date: December 5, 2019
    Inventors: Margie A. Hunt, Joseph Owen Deasy, Reza Farjam, Aditya Apte, Neelam Tyagi, Harini Veeraraghavan, Kristen L. Zakian