Patents by Inventor Behzad Sharif

Behzad Sharif 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: 20230056088
    Abstract: Deoxyhemoglobin in a subject may be modulated to act as a contrast agent for use in magnetic resonance imaging. Sequential gas delivery may be applied to adjust the level of deoxyhemoglobin in the subject. A suitable magnetic resonance imaging (MRI) pulse sequence that is sensitive to magnetic field inhomogeneities, such as a blood-oxygen-level dependent (BOLD) sequence, may be used to detect deoxyhemoglobin as a contrast agent.
    Type: Application
    Filed: December 31, 2020
    Publication date: February 23, 2023
    Inventors: Adrian P. CRAWLEY, Rohan DHARMAKUMAR, James DUFFIN, Joseph Arnold FISHER, David MIKULIS, Julien POUBLANC, Behzad SHARIF, Olivia SOBCZYK, Kamil ULUDAG, Chau VU, John WOOD, Hsin-Jung YANG
  • Patent number: 10706592
    Abstract: In some embodiments, the present application discloses systems and methods for cardiac MRI that allow for continuous un-interrupted acquisition without any ECG/cardiac gating or synchronization that achieves the required image contrast for imaging perfusion defects. The invention also teaches an accelerated image reconstruction technique that is tailored to the data acquisition scheme and minimizes or eliminates dark-rim image artifacts. The invention further enables concurrent imaging of perfusion and myocardial wall motion (cardiac function), which can eliminate the need for separate assessment of cardiac function (hence shortening exam time), and/or provide complementary diagnostic information in CAD patients.
    Type: Grant
    Filed: January 6, 2015
    Date of Patent: July 7, 2020
    Assignee: Cedars-Sinai Medical Center
    Inventors: Behzad Sharif, Debiao Li, Daniel S. Berman, C. Noel Bairey Merz
  • Patent number: 9655522
    Abstract: The present invention teaches systems and methods for a simple cardiac MRI approach that (1) continuously acquires data; (2) covers the entire heart with high isotropic resolution within a few minutes; and (3) requires no physiological gating and minimal user intervention. Applications of the inventive systems and methods include, but are in no way limited to cardiac cine, myocardial perfusion, coronary MRA, delayed enhancement imaging, myocardial T1-weighted imaging for fibrosis imaging, and myocardial T2-weighted imaging for edema imaging.
    Type: Grant
    Filed: October 8, 2015
    Date of Patent: May 23, 2017
    Assignee: Cedars-Sinai Medical Center
    Inventors: Debiao Li, Behzad Sharif, Daniel S. Berman, Jianing Pang
  • Publication number: 20160104279
    Abstract: The present invention teaches systems and methods for a simple cardiac MRI approach that (1) continuously acquires data; (2) covers the entire heart with high isotropic resolution within a few minutes; and (3) requires no physiological gating and minimal user intervention. Applications of the inventive systems and methods include, but are in no way limited to cardiac cine, myocardial perfusion, coronary MRA, delayed enhancement imaging, myocardial T1-weighted imaging for fibrosis imaging, and myocardial T2-weighted imaging for edema imaging.
    Type: Application
    Filed: October 8, 2015
    Publication date: April 14, 2016
    Applicant: CEDARS-SINAI MEDICAL CENTER
    Inventors: Debiao Li, Behzad Sharif, Daniel S. Berman, Jianing Pang
  • Publication number: 20150192653
    Abstract: In some embodiments, the present application discloses systems and methods for cardiac MRI that allow for continuous un-interrupted acquisition without any ECG/cardiac gating or synchronization that achieves the required image contrast for imaging perfusion defects. The invention also teaches an accelerated image reconstruction technique that is tailored to the data acquisition scheme and minimizes or eliminates dark-rim image artifacts. The invention further enables concurrent imaging of perfusion and myocardial wall motion (cardiac function), which can eliminate the need for separate assessment of cardiac function (hence shortening exam time), and/or provide complementary diagnostic information in CAD patients.
    Type: Application
    Filed: January 6, 2015
    Publication date: July 9, 2015
    Applicant: Cedars-Sinai Medical Center
    Inventors: Behzad Sharif, Debiao Li, Daniel S. Berman, C. Noel Bairey Merz
  • Patent number: 8831318
    Abstract: The invention is a new computational method for the formation of magnetic resonance (MR) images. The method utilizes the data acquired by the multiple receiver channels available as parallel imaging hardware on standard MRI scanners to: (i) automatically identify a set of multi-input multi-output (MIMO) systems (e.g., MIMO filter banks) that act as interpolation kernels for acquired MR data sets (that can be subsampled with respect to the Nyquist criterion) without requiring a separate calibration scan; and (ii) use the identified MIMO systems to synthesize MR data sets that can in turn be used to produce high quality images, thereby enabling high quality imaging with fewer data samples than current methods (or equivalently provide higher image quality with the same number of data samples). A unique feature of the present invention is its ability to account for aliasing effects and minimize the associated image distortion by optimally adapting the said MIMO interpolation (image reconstruction) kernels.
    Type: Grant
    Filed: June 30, 2010
    Date of Patent: September 9, 2014
    Assignee: The Board of Trustees of the University of Illinois
    Inventors: Behzad Sharif, Yoem Bresler
  • Publication number: 20110286648
    Abstract: The invention is a new computational method for the formation of magnetic resonance (MR) images. The method utilizes the data acquired by the multiple receiver channels available as parallel imaging hardware on standard MRI scanners to: (i) automatically identify a set of multi-input multi-output (MIMO) systems (e.g., MIMO filter banks) that act as interpolation kernels for acquired MR data sets (that can be subsampled with respect to the Nyquist criterion) without requiring a separate calibration scan; and (ii) use the identified MIMO systems to synthesize MR data sets that can in turn be used to produce high quality images, thereby enabling high quality imaging with fewer data samples than current methods (or equivalently provide higher image quality with the same number of data samples). A unique feature of the present invention is its ability to account for aliasing effects and minimize the associated image distortion by optimally adapting the said MIMO interpolation (image reconstruction) kernels.
    Type: Application
    Filed: June 30, 2010
    Publication date: November 24, 2011
    Inventors: Behzad Sharif, Yoem Bresler
  • Patent number: 7423430
    Abstract: A method for acquiring magnetic resonance (MR) data from a dynamic object in which a k-space sampling schedule are produced. The k-space sampling table is produced using a spatio-temporal model of the beating heart, time sequential sampling theory and a known number of parallel receive channels (coils). The imaging pulse sequence is repeated to play out the phase encodings in the order listed in the k-space sampling schedule and the k-space data sets acquired through the parallel receive channels are combined and used to reconstruct a sequence of images. The method is an improved process for dynamic MRI, designed to overcome the limitations of current MRI systems in imaging dynamic phenomena and produces highly accurate motion movies of the structure, function, perfusion and viability of various anatomical regions in MRI subjects such as the beating heart, flow of contrast agents in blood vessels, brain excitation, or joint movement.
    Type: Grant
    Filed: April 6, 2007
    Date of Patent: September 9, 2008
    Assignee: The Board of Trustees of the University of Illinois
    Inventors: Behzad Sharif, Yoram Bresler, Nitin Aggarwal