Patents by Inventor Petru Dinu

Petru Dinu 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: 8917922
    Abstract: The CT imaging system optimizes its image generation by updating an image with the current application of a data fidelity update and a regularization update together in a single step in an iterative reconstruction algorithm. The iterative reconstruction algorithm includes the ordered subsets simultaneous algebraic reconstruction technique (OSSART) and the simultaneous algebraic reconstruction technique (SART). The data fidelity update and the regularization update are independently obtained using some predetermined statistical information such as noise and or error in matching the real data.
    Type: Grant
    Filed: June 15, 2012
    Date of Patent: December 23, 2014
    Assignees: Kabushiki Kaisha Toshiba, Toshiba Medical Systems Corporation
    Inventors: Alexander Zamyatin, Daxin Shi, Mihail Petru Dinu
  • Patent number: 8712134
    Abstract: The image generation method and system generates an image using a predetermined iterative reconstruction technique from cone beam data that has been expanded by adding additional data, and an instance of the iteration process is weighted according to a corresponding validation weight during the reconstruction. Optionally, an instance of the iteration process is weighted according to a combination of weights during the reconstruction. The predetermined combination of the weights includes axial weights based upon a validity value of the expanded data and statistical weights.
    Type: Grant
    Filed: October 18, 2011
    Date of Patent: April 29, 2014
    Assignees: Kabushiki Kaisha Toshiba, Toshiba Medical Systems Corporation
    Inventors: Alexander Zamyatin, Daxin Shi, Mihail Petru Dinu
  • Publication number: 20140056536
    Abstract: One technique performs noise removal substantially removing dot noise based upon pseudo-standard deviation (PSD). Another technique performs noise removal including the substantial removal of dot noise based upon Z-score with a punctured approach. The techniques are not limited to particular kernels and include both uniform and non-uniform kernels.
    Type: Application
    Filed: August 27, 2012
    Publication date: February 27, 2014
    Applicants: TOSHIBA MEDICAL SYSTEMS CORPORATION, KABUSHIKI KAISHA TOSHIBA
    Inventors: Alexander ZAMYATIN, Mihail Petru DINU, Zhi YANG
  • Patent number: 8625870
    Abstract: The image reconstruction method and system reconstructs a multi-scale image using a set of predetermined nested 3D grids, and a zoomed image is reconstructed without losing details. The multiple steps uses a decreasing grid size to reconstruct an ultimately zoomed image in region of interest without degrading image quality.
    Type: Grant
    Filed: October 19, 2011
    Date of Patent: January 7, 2014
    Assignees: Kabushiki Kaisha Toshiba, Toshiba Medical Systems Corporation
    Inventors: Alexander Zamyatin, Mihail Petru Dinu, Daxin Shi
  • Publication number: 20130336561
    Abstract: The CT imaging system optimizes its image generation by updating an image with the current application of a data fidelity update and a regularization update together in a single step in an iterative reconstruction algorithm. The iterative reconstruction algorithm includes the ordered subsets simultaneous algebraic reconstruction technique (OS SART) and the simultaneous algebraic reconstruction technique (SART). The data fidelity update and the regularization update are independently obtained using some predetermined statistical information such as noise and or error in matching the real data.
    Type: Application
    Filed: June 15, 2012
    Publication date: December 19, 2013
    Applicants: TOSHIBA MEDICAL SYSTEMS CORPORATION, KABUSHIKI KAISHA TOSHIBA
    Inventors: Alexander ZAMYATIN, Daxin SHI, Mihail Petru DINU
  • Publication number: 20130336562
    Abstract: The CT imaging system optimizes its image generation by adaptively changing parameters in an iterative reconstruction algorithm based upon certain information such as statistical information. The coefficients for the parameters include at least a first coefficient for a predetermined data fidelity process and a second coefficient for a predetermined regularization process in an iterative reconstruction algorithm. The iterative reconstruction algorithm includes the ordered subsets simultaneous algebraic reconstruction technique (OSSART) and the simultaneous algebraic reconstruction technique (SART). The first coefficient and the second coefficient are independently determined using some predetermined statistical information such as noise and or error in matching the real data.
    Type: Application
    Filed: June 15, 2012
    Publication date: December 19, 2013
    Applicants: TOSHIBA MEDICAL SYSTEMS CORPORATION, KABUSHIKI KAISHA TOSHIBA
    Inventors: Alexander ZAMYATIN, Daxin SHI, Mihail Petru DINU
  • Publication number: 20130101191
    Abstract: The image reconstruction method and system reconstructs a multi-scale image using a set of predetermined nested 3D grids, and a zoomed image is reconstructed without losing details. The multiple steps uses a decreasing grid size to reconstruct an ultimately zoomed image in region of interest without degrading image quality.
    Type: Application
    Filed: October 19, 2011
    Publication date: April 25, 2013
    Applicants: TOSHIBA MEDICAL SYSTEMS CORPORATION, KABUSHIKI KAISHA TOSHIBA
    Inventors: Alexander ZAMYATIN, Mihail Petru DINU, Daxin SHI
  • Publication number: 20130094735
    Abstract: The image generation method and system generates an image using a predetermined iterative reconstruction technique from cone beam data that has been expanded by adding additional data, and an instance of the iteration process is weighted according to a corresponding validation weight during the reconstruction. Optionally, an instance of the iteration process is weighted according to a combination of weights during the reconstruction. The predetermined combination of the weights includes axial weights based upon a validity value of the expanded data and statistical weights.
    Type: Application
    Filed: October 18, 2011
    Publication date: April 18, 2013
    Applicants: TOSHIBA MEDICAL SYSTEMS CORPORATION, KABUSHIKI KAISHA TOSHIBA
    Inventors: Alexander ZAMYATIN, Daxin SHI, Mihail Petru DINU
  • Publication number: 20060155188
    Abstract: A method for determining suitability of a device, such as a stent, for delivery through a vessel comprises the steps of generating a model representing positions of the device within the vessel, and evaluating the model to ascertain a degree of risk associated with delivery of the device through the vessel. The model may be generated based upon data describing the vessel and data describing the device. In a preferred embodiment, a color-coded image of the vessel is generated to report local vessel tortuousity relative to the device.
    Type: Application
    Filed: November 23, 2005
    Publication date: July 13, 2006
    Inventors: Alan Walczak, Kenneth Hoffmann, Petru Dinu, Sebastian Schafer