Patents by Inventor Antonios MATAKOS

Antonios MATAKOS 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: 20210315475
    Abstract: An apparatus and method are provided to simultaneously provide good image quality and fast image reconstruction from magnetic resonance imaging (MRI) data by selecting an appropriate value for the regularization parameter used in compressed sensing (CS) image reconstruction. In CS reconstruction a high-resolution image can be reconstructed from randomized undersampled data by imposing sparsity in multi-scale transformation (e.g., wavelet) domain. Further, in the transformation domain, a threshold can be determined between signal and noise levels of the transform coefficients. A regularization parameter based on this threshold scales the regularization term, which imposes sparsity, relative to the data fidelity term in an objective function, thereby balancing the tradeoff between noise and smoothing.
    Type: Application
    Filed: May 6, 2021
    Publication date: October 14, 2021
    Applicant: CANON MEDICAL SYSTEMS CORPORATION
    Inventors: Andrew James WHEATON, Antonios MATAKOS, Samir Dev SHARMA
  • Patent number: 11064901
    Abstract: An apparatus and method are provided to simultaneously provide good image quality and fast image reconstruction from magnetic resonance imaging (MRI) data by selecting an appropriate value for the regularization parameter used in compressed sensing (CS) image reconstruction. In CS reconstruction a high-resolution image can be reconstructed from randomized undersampled data by imposing sparsity in multi-scale transformation (e.g., wavelet) domain. Further, in the transformation domain, a threshold can be determined between signal and noise levels of the transform coefficients. A regularization parameter based on this threshold scales the regularization term, which imposes sparsity, relative to the data fidelity term in an objective function, thereby balancing the tradeoff between noise and smoothing.
    Type: Grant
    Filed: March 29, 2019
    Date of Patent: July 20, 2021
    Assignee: CANON MEDICAL SYSTEMS CORPORATION
    Inventors: Andrew James Wheaton, Antonios Matakos, Samir Dev Sharma
  • Patent number: 10950014
    Abstract: An apparatus and method are provided to correct motion artifacts in magnetic resonance imaging (MRI) data by finding and removing motion-corrupted encodes. The MRI data non-uniformly sample k-space using a series of shots, each including one or more encodes. The motion-corrupted encodes/shots are identified by omitting respective encodes/shots from the MRI data when reconstructing respective images using a compressed-sensing (CS) method. The image quality is improved for those reconstructed images in which the motion-corrupted encodes are omitted, whereas all other images include the motion-corrupted encodes and exhibit the motion artifact. Assuming a minority of encodes/shots are corrupted by motion, the images improved by omitting the motion-corrupted encodes can be identified as outliers. Once, the motion-corrupted encodes are identified and excluded from the final MRI dataset, a final, high-resolution image is reconstructed using the final MRI dataset.
    Type: Grant
    Filed: March 1, 2019
    Date of Patent: March 16, 2021
    Assignee: CANON MEDICAL SYSTEMS CORPORATION
    Inventors: Andrew J. Wheaton, Antonios Matakos
  • Publication number: 20200305756
    Abstract: An apparatus and method are provided to simultaneously provide good image quality and fast image reconstruction from magnetic resonance imaging (MRI) data by selecting an appropriate value for the regularization parameter used in compressed sensing (CS) image reconstruction. In CS reconstruction a high-resolution image can be reconstructed from randomized undersampled data by imposing sparsity in multi-scale transformation (e.g., wavelet) domain. Further, in the transformation domain, a threshold can be determined between signal and noise levels of the transform coefficients. A regularization parameter based on this threshold scales the regularization term, which imposes sparsity, relative to the data fidelity term in an objective function, thereby balancing the tradeoff between noise and smoothing.
    Type: Application
    Filed: March 29, 2019
    Publication date: October 1, 2020
    Applicant: Canon Medical Systems Corporation
    Inventors: Andrew James Wheaton, Antonios Matakos, Samir Dev Sharma
  • Publication number: 20200279413
    Abstract: An apparatus and method are provided to correct motion artifacts in magnetic resonance imaging (MRI) data by finding and removing motion-corrupted encodes. The MRI data non-uniformly sample k-space using a series of shots, each including one or more encodes. The motion-corrupted encodes/shots are identified by omitting respective encodes/shots from the MRI data when reconstructing respective images using a compressed-sensing (CS) method. The image quality is improved for those reconstructed images in which the motion-corrupted encodes are omitted, whereas all other images include the motion-corrupted encodes and exhibit the motion artifact. Assuming a minority of encodes/shots are corrupted by motion, the images improved by omitting the motion-corrupted encodes can be identified as outliers. Once, the motion-corrupted encodes are identified and excluded from the final MRI dataset, a final, high-resolution image is reconstructed using the final MRI dataset.
    Type: Application
    Filed: March 1, 2019
    Publication date: September 3, 2020
    Applicant: Canon Medical Systems Corporation
    Inventors: Andrew J. WHEATON, Antonios MATAKOS
  • Patent number: 10719934
    Abstract: Devices, systems, and methods for generating a medical image receive scan data, wherein the scan data is defined in an acquisition space; perform a first reconstruction process to generate a lower-resolution image based on the scan data, wherein the first reconstruction process uses a subset of the scan data; and perform a second reconstruction process to generate a higher-resolution image based on the scan data, wherein the second reconstruction process uses more of the scan data than the subset of the scan data.
    Type: Grant
    Filed: October 17, 2018
    Date of Patent: July 21, 2020
    Assignee: CANON MEDICAL SYSTEMS CORPORATION
    Inventors: Andrew J. Wheaton, Antonios Matakos
  • Publication number: 20200126213
    Abstract: Devices, systems, and methods for generating a medical image receive scan data, wherein the scan data is defined in an acquisition space; perform a first reconstruction process to generate a lower-resolution image based on the scan data, wherein the first reconstruction process uses a subset of the scan data; and perform a second reconstruction process to generate a higher-resolution image based on the scan data, wherein the second reconstruction process uses more of the scan data than the subset of the scan data.
    Type: Application
    Filed: October 17, 2018
    Publication date: April 23, 2020
    Applicant: CANON MEDICAL SYSTEMS CORPORATION
    Inventors: Andrew J. WHEATON, Antonios MATAKOS