Patents by Inventor Alexander Katsevich

Alexander Katsevich 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).

  • Publication number: 20240257361
    Abstract: A method for motion estimation in CT systems is provided. The method includes dividing projection data, obtained by scanning a heart using the CT system, into a plurality of partial-angle-reconstruction (PAR) bins, reconstructing a plurality of PAR volumes from the PAR-binned projection data, obtaining, based on the plurality of reconstructed PAR volumes, a number of short-scan volumes, determining, based on the obtained number of short-scan volumes, a plurality of nodes throughout the heart, estimating, for each of the determined plurality of nodes, a plurality of model parameters of a motion model, and generating, based on the plurality of model parameters estimated for each of the plurality of nodes, parameters of a global motion model at each voxel of a volume of the heart. The method also includes reconstructing, based on the generated motion parameters of the global motion model at each voxel of the volume of the heart, a motion-compensated short-scan volume.
    Type: Application
    Filed: January 26, 2024
    Publication date: August 1, 2024
    Applicants: iTOMOGRAPHY CORPORATION, THE UNIVERSITY OF CENTRAL FLORIDA RESEARCH FOUNDATION, Inc., CANON MEDICAL SYSTEMS CORPORATION
    Inventors: Seongjin YOON, Alexander KATSEVICH, Michael FRENKEL, Qiulin TANG, Liang CAl, Jian ZHOU, Zhou YU
  • Patent number: 11406344
    Abstract: In various embodiments, the present invention provides an improved system and method for motion estimation and motion compensation in cone beam computer tomography (CBCT). The present invention utilizes a method for alternating minimization between volume and motion sub-iterations and results in an improved system and method for motion estimation and compensation in CBCT.
    Type: Grant
    Filed: January 13, 2020
    Date of Patent: August 9, 2022
    Assignees: University of Central Florida Research Foundation, Inc., iTomography Corporation
    Inventors: Alexander Katsevich, Michael Frenkel, Seongjin Yoon
  • Publication number: 20220092831
    Abstract: In various embodiments, the present invention provides a multi-modality imaging system in combination with a novel imaging method comprising complex modeling of the modalities and machine learning. In a particular embodiment, multi-modality imaging of a large rock core is described.
    Type: Application
    Filed: September 20, 2021
    Publication date: March 24, 2022
    Inventors: Alexander Katsevich, Michael Frenkel, Igor Frenkel, Airidas Korolkovas, Seongjin Yoon
  • Patent number: 11087508
    Abstract: A method and apparatus is provided to reconstruct a computed tomography image using iterative reconstruction (IR) that is accelerated using various combinations of ordered subsets, conjugate gradient, preconditioning, resetting/restarting, and/or gradient approximation techniques. For example, when restarting criteria are satisfied the IR algorithm can be reset by setting conjugate-gradient parameters to initial values and/or by changing the number of ordered subsets. The IR algorithm can be accelerated by approximately calculating the gradients, by using a diagonal or Fourier preconditioner, and by selectively updating the preconditioner based on the regularization function. The update direction and step size can be calculated using the preconditioner and a surrogate function, which is not necessarily separable.
    Type: Grant
    Filed: November 30, 2018
    Date of Patent: August 10, 2021
    Assignees: CANON MEDICAL SYSTEMS CORPORATION, THE UNIVERSITY OF CENTRAL FLORIDA RESEARCH FOUNDATION, Inc.
    Inventors: Alexander Katsevich, Zhou Yu, Daxin Shi
  • Patent number: 10825210
    Abstract: An apparatus and method are provided for computed tomography (CT) imaging to reduce truncation artifacts due to a part of an imaged object being outside the scanner field of view (FOV) for at least some views of a CT scan. After initial determining extrapolation widths to extend the projection data to fill a truncation region, the extrapolation widths are combined into a padding map and smoothed to improve uniformity and remove jagged edges. Then a hybrid material model fits the measured projection data nearest the truncation region to extrapolate projection data filling the truncation region. Smoothing the padding map is improved by the insight that in general smaller extrapolation widths are more accurate and trustworthy. Further, practical applications often include multiple inhomogeneous materials. Thus, the hybrid material model provides a better approximation than single material models, and more accurate fitting is achieved.
    Type: Grant
    Filed: November 30, 2018
    Date of Patent: November 3, 2020
    Assignees: CANON MEDICAL SYSTEMS CORPORATION, THE UNIVERSITY OF CENTRAL FLORIDA RESEARCH FOUNDATION, Inc.
    Inventors: Qiulin Tang, Alexander Katsevich, Zhou Yu, Wenli Wang
  • Publication number: 20200342640
    Abstract: An improved system and method for the reduction of beam hardening artifacts in CT image reconstruction based on polyenergetic x-ray projection data and polyenergetic x-ray calibration data from a known calibration phantom.
    Type: Application
    Filed: April 24, 2020
    Publication date: October 29, 2020
    Inventors: Alexander Katsevich, Seongjin Yoon, Michael Frenkel
  • Publication number: 20200222019
    Abstract: In various embodiments, the present invention provides an improved system and method for motion estimation and motion compensation in cone beam computer tomography (CBCT). The present invention utilizes a method for alternating minimization between volume and motion sub-iterations and results in an improved system and method for motion estimation and compensation in CBCT.
    Type: Application
    Filed: January 13, 2020
    Publication date: July 16, 2020
    Inventors: Alexander Katsevich, Michael Frenkel, Seongjin Yoon
  • Publication number: 20200175731
    Abstract: A method and apparatus is provided to reconstruct a computed tomography image using iterative reconstruction (IR) that is accelerated using various combinations of ordered subsets, conjugate gradient, preconditioning, resetting/restarting, and/or gradient approximation techniques. For example, when restarting criteria are satisfied the IR algorithm can be reset by setting conjugate-gradient parameters to initial values and/or by changing the number of ordered subsets. The IR algorithm can be accelerated by approximately calculating the gradients, by using a diagonal or Fourier preconditioner, and by selectively updating the preconditioner based on the regularization function. The update direction and step size can be calculated using the preconditioner and a surrogate function, which is not necessarily separable.
    Type: Application
    Filed: November 30, 2018
    Publication date: June 4, 2020
    Applicants: CANON MEDICAL SYSTEMS CORPORATION, THE UNIVERSITY OF CENTRAL FLORIDA RESEARCH FOUNDATION, Inc.
    Inventors: Alexander KATSEVICH, Zhou YU, Daxin SHI
  • Patent number: 10617365
    Abstract: An improved system and method for estimating and compensating for motion by reducing motion artifacts produced during image reconstruction from helical computed tomography (CT) scan data. In a particular embodiment, the reconstruction may be based on helical partial angle reconstruction (PAR) and the registration may be performed utilizing one or more artificial intelligence (AI) based methods.
    Type: Grant
    Filed: May 14, 2019
    Date of Patent: April 14, 2020
    Assignees: University of Central Florida Research Foundation, Inc., iTomography Corporation, Canon Medical Systems Corporation
    Inventors: Alexander Katsevich, Michael Frenkel, Victor Prieto, Zhou Yu
  • Patent number: 10497154
    Abstract: Described herein are systems and methods for automated completion, combination, and completion by combination of sinograms. In certain embodiments, sinogram completion is based on a photographic (e.g. spectral or optical) acquisition and a CT acquisition (e.g., micro CT). In other embodiments, sinogram completion is based on two CT acquisitions. The sinogram to be completed may be truncated due to a detector crop (e.g., a center-based crop or an offset based crop). The sinogram to be completed may be truncated due to a subvolume crop (e.g., based on low resolution image projected onto sinogram).
    Type: Grant
    Filed: June 5, 2017
    Date of Patent: December 3, 2019
    Assignee: PerkinElmer Health Sciences, Inc.
    Inventors: Jeff Meganck, Michael Frenkel, Alexander Katsevich
  • Publication number: 20190328341
    Abstract: An improved system and method for estimating and compensating for motion by reducing motion artifacts produced during image reconstruction from helical computed tomography (CT) scan data. In a particular embodiment, the reconstruction may be based on helical partial angle reconstruction (PAR) and the registration may be performed utilizing one or more artificial intelligence (AI) based methods.
    Type: Application
    Filed: May 14, 2019
    Publication date: October 31, 2019
    Inventors: Alexander Katsevich, Michael Frenkel, Victor Prieto, Zhou Yu
  • Publication number: 20190333255
    Abstract: A system and method for performing reconstruction of an image of an object from tomographic data collected by a scanner having stationary x-ray sources and stationary x-ray detectors. The system and method utilize a weighting function based upon a source availability map to establish a no-view differentiation condition, thereby reducing artifacts in the reconstructed image of the object.
    Type: Application
    Filed: April 29, 2019
    Publication date: October 31, 2019
    Inventors: Alexander Katsevich, Michael Frenkel
  • Patent number: 10339678
    Abstract: An improved system and method for estimating and compensating for motion by reducing motion artifacts produced during image reconstruction from helical computed tomography (CT) scan data. In a particular embodiment, the reconstruction may be based on helical partial angle reconstruction (PAR).
    Type: Grant
    Filed: November 16, 2017
    Date of Patent: July 2, 2019
    Assignees: University of Central Florida Research Foundation, Inc., iTomography Corporation
    Inventors: Alexander Katsevich, Michael Frenkel
  • Publication number: 20190164317
    Abstract: An apparatus and method are provided for computed tomography (CT) imaging to reduce truncation artifacts due to a part of an imaged object being outside the scanner field of view (FOV) for at least some views of a CT scan. After initial determining extrapolation widths to extend the projection data to fill a truncation region, the extrapolation widths are combined into a padding map and smoothed to improve uniformity and remove jagged edges. Then a hybrid material model fits the measured projection data nearest the truncation region to extrapolate projection data filling the truncation region. Smoothing the padding map is improved by the insight that in general smaller extrapolation widths are more accurate and trustworthy. Further, practical applications often include multiple inhomogeneous materials. Thus, the hybrid material model provides a better approximation than single material models, and more accurate fitting is achieved.
    Type: Application
    Filed: November 30, 2018
    Publication date: May 30, 2019
    Applicants: THE UNIVERSITY OF CENTRAL FLORIDA RESEARCH FOUNDATION, Inc.
    Inventors: Qiulin Tang, Alexander Katsevich, Zhou Yu, Wenli Wang
  • Publication number: 20180137657
    Abstract: An improved system and method for estimating and compensating for motion by reducing motion artifacts produced during image reconstruction from helical computed tomography (CT) scan data. In a particular embodiment, the reconstruction may be based on helical partial angle reconstruction (PAR).
    Type: Application
    Filed: November 16, 2017
    Publication date: May 17, 2018
    Inventors: Alexander Katsevich, Michael Frenkel
  • Publication number: 20170365075
    Abstract: Described herein are systems and methods for automated completion, combination, and completion by combination of sinograms. In certain embodiments, sinogram completion is based on a photographic (e.g. spectral or optical) acquisition and a CT acquisition (e.g., micro CT). In other embodiments, sinogram completion is based on two CT acquisitions. The sinogram to be completed may be truncated due to a detector crop (e.g., a center-based crop or an offset based crop). The sinogram to be completed may be truncated due to a subvolume crop (e.g., based on low resolution image projected onto sinogram).
    Type: Application
    Filed: June 5, 2017
    Publication date: December 21, 2017
    Inventors: Jeff Meganck, Michael Frenkel, Alexander Katsevich
  • Patent number: 9691167
    Abstract: Systems, apparatus and methods for collecting, storing, processing, reconstructing, and interpreting raw scan data from a medical diagnostic imaging scan. Raw data after a scan such as a Computed Tomography (CT) scan is sent to a raw scan database system and image reconstruction system, where image volumes are reconstructed using software from the software bank and sent to a data management system. Raw scan data generated once by a scanner is continuously used at later times to reconstruct images of the patient without having to perform additional patient scans.
    Type: Grant
    Filed: August 28, 2015
    Date of Patent: June 27, 2017
    Assignees: University of Central Florida Research Foundation, Inc., iTomography Corporation
    Inventors: Michael Frenkel, Alexander Katsevich, Igor Frenkel
  • Patent number: 9235889
    Abstract: Systems, apparatus and methods for collecting, storing, processing, reconstructing, and interpreting raw scan data from a medical diagnostic imaging scan. Raw data after a scan such as a Computed Tomography (CT) scan is sent to a raw scan database system and image reconstruction system, where image volumes are reconstructed using software from the software bank and sent to a data management system. Raw scan data generated once by a scanner is continuously used at later times to reconstruct images of the patient without having to perform additional patient scans.
    Type: Grant
    Filed: March 12, 2013
    Date of Patent: January 12, 2016
    Assignees: University of Central Florida Research Foundation, Inc., iTomography Corporation
    Inventors: Michael Frenkel, Alexander Katsevich, Igor Frenkel
  • Publication number: 20150146957
    Abstract: Methods, processes and systems of image reconstruction utilizing a hybrid local tomography (HLT) methodology for reconstructing internal body images in medical applications, and the like. The system and method of the present invention provides an image with emphasized edges, and the image provides estimations of the attenuation coefficient inside the object being scanned.
    Type: Application
    Filed: December 1, 2014
    Publication date: May 28, 2015
    Inventors: Alexander Katsevich, Michael Frenkel
  • Patent number: 9042626
    Abstract: Methods, processes and systems of image reconstruction utilizing a hybrid local tomography (HLT) methodology for reconstructing internal body images in medical applications, and the like. The system and method of the present invention provides an image with emphasized edges, and the image provides estimations of the attenuation coefficient inside the object being scanned.
    Type: Grant
    Filed: December 1, 2014
    Date of Patent: May 26, 2015
    Assignees: University of Central Florida Research Foundation, Inc., iTomography Corporation
    Inventors: Alexander Katsevich, Michael Frenkel