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:
Grant
Filed:
September 20, 2021
Date of Patent:
December 10, 2024
Assignees:
University of Central Florida Research Foundation, Inc., iTomography Corporation
Inventors:
Alexander Katsevich, Michael Frenkel, Igor Frenkel, Airidas Korolkovas, Seongjin Yoon
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
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
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
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
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
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
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
Abstract: Methods, processes and systems of image reconstruction using variable filter length local tomography, for reconstructing internal body images in medical applications, and the like. The system and method of the present invention utilizes less radiation and less computer power than the prior art, without using iteration algorithms so that all target sizes from large to small can be reconstructed.
Type:
Grant
Filed:
November 14, 2013
Date of Patent:
January 6, 2015
Assignees:
University of Central Florida Research Foundation, Inc., iTomography Corporation
Abstract: Methods, processes and systems of image reconstruction using variable filter length local tomography, for reconstructing internal body images in medical applications, and the like. Algorithm uses less radiation, less computer power than prior art, and without using iteration algorithms so that all target sizes from large to small can be reconstructed.
Type:
Grant
Filed:
December 20, 2012
Date of Patent:
December 17, 2013
Assignees:
University of Central Florida Research Foundation, Inc., iTomography Corporation