Patents by Inventor Jeffrey H. Siewerdsen

Jeffrey H. Siewerdsen 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: 11903751
    Abstract: A method and system is disclosed for analyzing and evaluating image data of a subject. The image data can be collected with an imaging system in a selected manner and/or motion. More than one projection may be combined to generate and create a selected view of the subject. The evaluation may be a location determination of a member positioned within the subject.
    Type: Grant
    Filed: April 4, 2019
    Date of Patent: February 20, 2024
    Assignees: Medtronic Navigation, Inc., The Johns Hopkins University
    Inventors: Patrick A. Helm, Jeffrey H. Siewerdsen, Ali Uneri
  • Publication number: 20240041558
    Abstract: A system for surgical navigation, including an instrument for a medical procedure attached to a camera and having a spatial position relative to the camera, an x-ray system to acquire x-ray images, and multiple fiducial markers detectable by both the camera and x-ray system, having a radio-opaque material arranged as at least one of a line and a point. A computer receives an optical image from the camera and an x-ray image from the x-ray system, identifies fiducial markers visible in both the optical image and x-ray image, determines for each fiducial marker a spatial position relative to the camera based on the optical image and relative to the x-ray system based on the x-ray image, and determines a spatial position for the instrument relative to the x-ray system based on at least the spatial positions relative to the camera and x-ray system.
    Type: Application
    Filed: December 9, 2021
    Publication date: February 8, 2024
    Applicant: The Johns Hopkins University
    Inventors: Jeffrey H. SIEWERDSEN, Niral M. SHETH, Prasad VAGDARGI, Greg M. OSGOOD, Wathudurage Tharindu DE SILVA
  • Publication number: 20240016466
    Abstract: Embodiments provide a modular phantom that enables quantitative assessment of imaging performance (e.g., spatial resolution, image uniformity, image noise, contrast to noise ratio, cone-beam artifact) and dosimetry in cone-beam computed tomography (CT). The modular phantom includes one or more modules for various imaging performance tests that may be rearranged in the phantom to accommodate the design of various cone-beam CT imaging systems. The modular phantom includes one or more of a cone-beam module, an angled edge module, or a line spread module. The phantom may be inserted into a larger sleeve and be used to assess imaging performance and dosimetry in whole body CT imaging systems.
    Type: Application
    Filed: March 7, 2023
    Publication date: January 18, 2024
    Inventors: John M. BOONE, Jeffrey H. SIEWERDSEN, George W. BURKETT
  • Patent number: 11790525
    Abstract: A system and method for metal artifact avoidance in 3D x-ray imaging is provided. The method includes determining a 3D location of metal in an object or volume of interest to be scanned; estimating a source-detector orbit that will reduce the severity of metal artifacts; moving an imaging system to locations consistent with the source-detector orbit that was estimated; and scanning the object according to the source-detector orbit.
    Type: Grant
    Filed: December 4, 2020
    Date of Patent: October 17, 2023
    Assignees: THE JOHNS HOPKINS UNIVERSITY, SIEMENS HEALTHCARE GMBH
    Inventors: Jeffrey H. Siewerdsen, Pengwei Wu, Niral M. Sheth, Bjoern W. Kreher
  • Patent number: 11756242
    Abstract: Selected artifacts, which may be based on distortions or selected attenuation features, may be reduced or removed from a reconstructed image. Various artifacts may occur due to the presence of a metal object in a field of view. The metal object may be identified and removed from a data that is used to generate a reconstruction.
    Type: Grant
    Filed: October 4, 2021
    Date of Patent: September 12, 2023
    Assignee: Medtronic Navigation, Inc.
    Inventors: Patrick A. Helm, Jeffrey H. Siewerdsen, Ali Uneri, Wojciech Zbijewski, Xiaoxuan Zhang, Joseph W. Stayman, IV
  • Patent number: 11669984
    Abstract: A method, computer system, and a computer-readable medium for registering one or more structures to a desired orientation for planning and guidance for surgery is provided. The method includes in a preoperative stage, obtaining one or more 3D models of one or more structures from one or more CT images using an image processing segmentation technique or a manual segmentation technique; in the preoperative stage, registering the one or more structures to a template that is adapted to an alternating registration for a patient-specific shape and pose for a desired reduction and corresponding reduction transformations; in an intraoperative stage, mapping the one or more structures to one or more radiographs via a 3D-2D registration that iteratively optimizes a similarity metric between acquired and simulated radiographs; and in the intraoperative stage, providing an output that is representative of a radiograph or a 3D tomographic representation to provide guidance to a user.
    Type: Grant
    Filed: February 12, 2021
    Date of Patent: June 6, 2023
    Assignees: THE JOHNS HOPKINS UNIVERSITY, SIEMENS HEALTHCARE GMBH
    Inventors: Jeffrey H. Siewerdsen, Runze Han, Gerhard Kleinszig, Sebastian Vogt
  • Publication number: 20230169645
    Abstract: A method and system is disclosed for analyzing image data of a subject. The image data can be collected with an imaging system in a selected manner and/or motion. The image data may include selected overlap and be acquired with an imaging system that generates a plurality of perspectives for more than one location. An automatic system and method may then define or identify various features and/or allow for registration for alternative image data.
    Type: Application
    Filed: August 15, 2022
    Publication date: June 1, 2023
    Inventors: Patrick A. HELM, Jeffrey H. SIEWERDSEN, Ali UNERI, Craig K. JONES, Yixuan HUANG, Xiaoxuan ZHANG
  • Publication number: 20230169676
    Abstract: A method and system is disclosed for analyzing image data of a subject. The image data can be collected with an imaging system in a selected manner and/or motion. The image data may include selected overlap and be acquired with an imaging system that generates a plurality of perspectives for more than one location. An automatic system and method may then define or identify various features and/or allow for registration for alternative image data.
    Type: Application
    Filed: August 15, 2022
    Publication date: June 1, 2023
    Inventors: Patrick A. HELM, Jeffrey H. SIEWERDSEN, Ali UNERI, Craig K. JONES, Yixuan HUANG, Xiaoxuan ZHANG
  • Publication number: 20230169753
    Abstract: A method and system is disclosed for analyzing image data of a subject. The image data can be collected with an imaging system in a selected manner and/or motion. The image data may include selected overlap and be acquired with an imaging system that generates a plurality of perspectives for more than one location. An automatic system and method may then define or identify various features and/or allow for registration for alternative image data.
    Type: Application
    Filed: August 15, 2022
    Publication date: June 1, 2023
    Inventors: Patrick A. HELM, Jeffrey H. SIEWERDSEN, Ali UNERI, Craig K. JONES, Yixuan HUANG, Xiaoxuan ZHANG
  • Publication number: 20230169646
    Abstract: A method and system is disclosed for analyzing image data of a subject. The image data can be collected with an imaging system in a selected manner and/or motion. The image data may include selected overlap and be acquired with an imaging system that generates a plurality of perspectives for more than one location. An automatic system and method may then define or identify various features and/or allow for registration for alternative image data.
    Type: Application
    Filed: August 15, 2022
    Publication date: June 1, 2023
    Inventors: Patrick A. HELM, Jeffrey H. SIEWERDSEN, Ali UNERI, Craig K. JONES, Yixuan HUANG, Xiaoxuan ZHANG
  • Patent number: 11657518
    Abstract: An embodiment in accordance with the present invention provides a method for 3D-2D registration (for example, registration of a 3D CT image to a 2D radiograph) that permits deformable motion between structures defined in the 3D image based on a series of locally rigid transformations. This invention utilizes predefined annotations in 3D images (e.g., the location of anatomical features of interest) to perform multiple locally rigid registrations that yield improved accuracy in aligning structures that have undergone deformation between the acquisition of the 3D and 2D images (e.g., a preoperative CT compared to an intraoperative radiograph). The 3D image is divided into subregions that are masked according to the annotations, and the registration is computed simultaneously for each divided region by incorporating a volumetric masking method within the 3D-2D registration process.
    Type: Grant
    Filed: May 11, 2022
    Date of Patent: May 23, 2023
    Assignee: The Johns Hopkins University
    Inventors: Michael Ketcha, Wathudurage Tharindu deSilva, Ali Uneri, Jean-Paul Wolinsky, Jeffrey H. Siewerdsen
  • Patent number: 11642094
    Abstract: Embodiments provide a modular phantom that enables quantitative assessment of imaging performance (e.g., spatial resolution, image uniformity, image noise, contrast to noise ratio, cone-beam artifact) and dosimetry in cone-beam computed tomography (CT). The modular phantom includes one or more modules for various imaging performance tests that may be rearranged in the phantom to accommodate the design of various cone-beam CT imaging systems. The modular phantom includes one or more of a cone-beam module, an angled edge module, or a line spread module. The phantom may be inserted into a larger sleeve and be used to assess imaging performance and dosimetry in whole body CT imaging systems.
    Type: Grant
    Filed: December 29, 2020
    Date of Patent: May 9, 2023
    Assignees: The Regents of the University of California, Johns Hopkins University
    Inventors: John M. Boone, Jeffrey H. Siewerdsen, George W. Burkett, Jr.
  • Patent number: 11596367
    Abstract: An electromagnetic tracking system including a patient support element and an electromagnetic field generator. The patient support element is superposed relative to the electromagnetic field generator, and the electromagnetic field generator is selectively moveable relative to the patient support element.
    Type: Grant
    Filed: January 14, 2020
    Date of Patent: March 7, 2023
    Inventors: Jeffrey H. Siewerdsen, Jongheun Yoo
  • Patent number: 11478214
    Abstract: The present invention is directed to an alternative geometric calibration method based on a calibration phantom with multiple line-shaped markers. The markers can in some embodiments take the form of radio-opaque wires. Line fiducials overcome the occlusion hazards of spherical fiducials, because their projections overlap very mildly as long as the wires are mutually non-coplanar in 3D. This makes the phantom amenable to a wider range of orbits and less sensitive to phantom positioning. Equations relating the pose of 3D line-shaped objects to their 2D radiographic projections are then used as the basis for view-by-view geometry estimation. The technique can flexibly accommodate a wide range of different CT scan trajectories, including strongly noncircular trajectories known to provide better image quality than standard circular scans.
    Type: Grant
    Filed: March 16, 2018
    Date of Patent: October 25, 2022
    Assignee: The Johns Hopkins University
    Inventors: Jeffrey H. Siewerdsen, Matthew W. Jacobson, Michael Ketcha
  • Publication number: 20220270271
    Abstract: An embodiment in accordance with the present invention provides a method for 3D-2D registration (for example, registration of a 3D CT image to a 2D radiograph) that permits deformable motion between structures defined in the 3D image based on a series of locally rigid transformations. This invention utilizes predefined annotations in 3D images (e.g., the location of anatomical features of interest) to perform multiple locally rigid registrations that yield improved accuracy in aligning structures that have undergone deformation between the acquisition of the 3D and 2D images (e.g., a preoperative CT compared to an intraoperative radiograph). The 3D image is divided into subregions that are masked according to the annotations, and the registration is computed simultaneously for each divided region by incorporating a volumetric masking method within the 3D-2D registration process.
    Type: Application
    Filed: May 11, 2022
    Publication date: August 25, 2022
    Applicant: The Johns Hopkins University
    Inventors: Michael Ketcha, Wathudurage Tharindu deSilva, Ali Uneri, Jean-Paul Wolinsky, Jeffrey H. Siewerdsen
  • Publication number: 20220157459
    Abstract: A device may receive a set of perioperative images including a set of pre-operative images depicting one or more anatomical structures of a surgical candidate. The set of pre-operative images may be processed using image analysis techniques to determine a first set of quantitative measures related to the anatomical structure(s) of the surgical candidate. The device may use a data model that has been trained based on perioperative data associated with a patient cohort sharing clinical characteristics with the surgical candidate to predict outcomes from one or more therapeutic options for the surgical candidate based on the first set of quantitative measures and a second set of quantitative measures related to a profile associated with the surgical candidate. Based on the predicted outcomes, the device may provide, to a client device, a recommendation relating to the therapeutic options for the surgical candidate and information to support the recommendation.
    Type: Application
    Filed: February 26, 2020
    Publication date: May 19, 2022
    Applicant: The Johns Hopkins University
    Inventors: Jeffrey H. SIEWERDSEN, Nicholas THEODORE, Tharindu DE SILVA, Satyanarayana S. VEDULA
  • Publication number: 20220028131
    Abstract: Selected artifacts, which may be based on distortions or selected attenuation features, may be reduced or removed from a reconstructed image. Various artifacts may occur due to the presence of a metal object in a field of view. The metal object may be identified and removed from a data that is used to generate a reconstruction.
    Type: Application
    Filed: October 4, 2021
    Publication date: January 27, 2022
    Inventors: Patrick A. HELM, Jeffrey H. SIEWERDSEN, Ali UNERI, Wojciech ZBIJEWSKI, Xiaoxuan ZHANG, Joseph W. STAYMAN, IV
  • Patent number: 11138768
    Abstract: Selected artifacts, which may be based on distortions or selected attenuation features, may be reduced or removed from a reconstructed image. Various artifacts may occur due to the presence of a metal object in a field of view. The metal object may be identified and removed from a data that is used to generate a reconstruction.
    Type: Grant
    Filed: April 4, 2019
    Date of Patent: October 5, 2021
    Assignees: Medtronic Navigation, Inc., Johns Hopkins University
    Inventors: Patrick A. Helm, Jeffrey H. Siewerdsen, Ali Uneri, Wojciech Zbijewski, Xiaoxuan Zhang, Joseph W. Stayman, IV
  • Publication number: 20210256716
    Abstract: A method, computer system, and a computer-readable medium for registering one or more structures to a desired orientation for planning and guidance for surgery is provided. The method includes in a preoperative stage, obtaining one or more 3D models of one or more structures from one or more CT images using an image processing segmentation technique or a manual segmentation technique; in the preoperative stage, registering the one or more structures to a template that is adapted to an alternating registration for a patient-specific shape and pose for a desired reduction and corresponding reduction transformations; in an intraoperative stage, mapping the one or more structures to one or more radiographs via a 3D-2D registration that iteratively optimizes a similarity metric between acquired and simulated radiographs; and in the intraoperative stage, providing an output that is representative of a radiograph or a 3D tomographic representation to provide guidance to a user.
    Type: Application
    Filed: February 12, 2021
    Publication date: August 19, 2021
    Inventors: Jeffrey H. Siewerdsen, Runze Han, Gerhard Kleinszig, Sebastian Vogt
  • Publication number: 20210196215
    Abstract: The present invention is directed to a method of multi-motion compensation for high-quality cone-beam CT of the head. A multi-stage approach is incorporated that includes a pre-conditioning stage in which an initial estimation of the motion trajectory is obtained with 3D-2D registration using the motion-contaminated CBCT and projection data. In the present invention, the motion-contaminated CBCT is used as a basis for 3D-2D registration in the pre-conditioning stage to capture large amplitude, rapid movements of the head and provide better initialization of the autofocus solution.
    Type: Application
    Filed: May 17, 2019
    Publication date: July 1, 2021
    Inventors: JEFFREY H. SIEWERDSEN, WOJCIECH ZBIJEWSKI, ALEJANDRO SISNIEGA, JOSEPH WEBSTER STAYMAN