Patents by Inventor Vladimir Y. Panin

Vladimir Y. Panin 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: 8359345
    Abstract: The use of the ordinary Poisson iterative reconstruction algorithm in PET requires the estimation of expected random coincidences. In a clinical environment, random coincidences are often acquired with a delayed coincidence technique, and expected randoms are estimated through variance reduction (VR) of measured delayed coincidences. In this paper we present iterative VR algorithms for random compressed sonograms, when previously known methods are not applicable. Iterative methods have the advantage of easy adaptation to any acquisition geometry and of allowing the estimation of singles rates at the crystal level when the number of crystals is relatively small. Two types of sonogram compression are considered: axial (span) rebinning and transaxial mashing. A monotonic sequential coordinate descent algorithm, which optimizes the Least Squares objective function, is investigated.
    Type: Grant
    Filed: May 11, 2009
    Date of Patent: January 22, 2013
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventor: Vladimir Y. Panin
  • Publication number: 20120250965
    Abstract: A method and system is provided for performing medical imaging. The method and system includes at least one radiation detector to detect radiation from a subject, and an image processor which determines attenuation paths for an image point, groups substantially similar attenuation path lengths for the same image point to form a modified subset group, and processing image data using the modified subset group in order to provide a reconstructed image substantially similar to an original image.
    Type: Application
    Filed: March 28, 2011
    Publication date: October 4, 2012
    Applicant: SIEMENS MEDICAL SOLUTIONS USA, INC.
    Inventors: Harold E. Rothfuss, Vladimir Y. Panin
  • Patent number: 8265365
    Abstract: Estimating time-of-flight (TOF) scatter distribution in a positron emission tomography (PET) system. Obtaining PET TOF projection data: PET random coincidence data and PET TOF prompt coincidence events data. Reducing measured TOF projection data to non-TOF projection data. Reconstructing, unbiased, the non-TOF projection date. Forward projecting unbiased reconstructed non-TOF projection data to estimate TOF trues distribution. Subtracting: The estimated TOF trues distribution and the measured random coincidence, from measured TOF prompt coincidence events.
    Type: Grant
    Filed: September 20, 2010
    Date of Patent: September 11, 2012
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventor: Vladimir Y. Panin
  • Publication number: 20120070050
    Abstract: Estimating time-of-flight (TOF) scatter distribution in a positron emission tomography (PET) system. Obtaining PET TOF projection data: PET random coincidence data and PET TOF prompt coincidence events data. Reducing measured TOF projection data to non-TOF projection data. Reconstructing, unbiased, the non-TOF projection date. Forward projecting unbiased reconstructed non-TOF projection data to estimate TOF trues distribution. Subtracting: The estimated TOF trues distribution and the measured random coincidence, from measured TOF prompt coincidence events.
    Type: Application
    Filed: September 20, 2010
    Publication date: March 22, 2012
    Applicant: SIEMENS MEDICAL SOLUTIONS USA, INC.
    Inventor: Vladimir Y. Panin
  • Patent number: 8110805
    Abstract: Time-of-flight (TOF) clinical data collected during a PET scan are very sparse and have significant size. These data undergo TOF axial rebinning and azimuthal mashing if histogrammed data-based reconstruction algorithms are used. In a clinical environment, TOF compression is typically performed by the hardware rebinner. Normalization data, acquired on a regular basis and used for estimation of some norm components, are compressed by the hardware rebinner in a similar manner. This disclosure presents simple update iterative algorithms for crystal efficiencies norm component estimation from TOF compressed normalization data. Previously known methods are not directly applicable since the compression procedure significantly complicates normalization data model equations. The iterative algorithms presented herein have advantages of being easily adapted to any acquisition geometry, and of allowing estimation of parameters at crystal level when a number of crystals is relatively small.
    Type: Grant
    Filed: May 11, 2009
    Date of Patent: February 7, 2012
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventor: Vladimir Y. Panin
  • Patent number: 8089043
    Abstract: A representative positron emission tomography (PET) calibration system includes a PET scanner having a ring detector, a phantom that is placed at approximately the center of the ring detector, and a time alignment calibration manager that is coupled to the PET scanner. The time alignment calibration manager detects coincidence events from the phantom, calculates position of time of flight events from the ring detector based on the detected coincidence events, and calculates time offsets for the ring detector using a mean value calculation based on the calculated position of the time of flight events.
    Type: Grant
    Filed: December 1, 2009
    Date of Patent: January 3, 2012
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Michael E. Casey, Mu Chen, Timothy G. Gremillion, Charles H. Hayden, Jr., Mark W. Lenox, Vladimir Y. Panin
  • Patent number: 8000513
    Abstract: Methods and systems for reconstructing a nuclear medical image from time-of-flight (TOF) positron emission tomography (PET) imaging data are disclosed. Measured three-dimensional (3D) TOF-PET data, including direct two-dimensional (2D) projections and oblique 3D projection data, are acquired from a PET scanner. A model 3D image is preset, a modeled 2D TOF sinogram is generated from the model 3D image, and a modeled 3D TOF sinogram is generated from the 2D TOF sinogram based on an exact inverse rebinning relation in Fourier space. The model 3D image is corrected based on the 3D TOF sinogram and is provided as the reconstructed nuclear medical image. Techniques disclosed herein are useful for facilitating efficient medical imaging, e.g., for diagnosis of various bodily conditions.
    Type: Grant
    Filed: September 22, 2009
    Date of Patent: August 16, 2011
    Assignee: Siemens Medical Solutions USA, Inc.
    Inventors: Michel Defrise, Vladimir Y. Panin
  • Publication number: 20110127413
    Abstract: A representative positron emission tomography (PET) calibration system includes a PET scanner having a ring detector, a phantom that is placed at approximately the center of the ring detector, and a time alignment calibration manager that is coupled to the PET scanner. The time alignment calibration manager detects coincidence events from the phantom, calculates position of time of flight events from the ring detector based on the detected coincidence events, and calculates time offsets for the ring detector using a mean value calculation based on the calculated position of the time of flight events.
    Type: Application
    Filed: December 1, 2009
    Publication date: June 2, 2011
    Applicant: Siemens Medical Solutions USA, Inc.
    Inventors: Michael E. Casey, Mu Chen, Timothy G. Gremillion, Charles H. Hayden, JR., Mark W. Lenox, Vladimir Y. Panin
  • Publication number: 20100074500
    Abstract: Methods and systems for reconstructing a nuclear medical image from time-of-flight (TOF) positron emission tomography (PET) imaging data are disclosed. Measured three-dimensional (3D) TOF-PET data, including direct two-dimensional (2D) projections and oblique 3D projection data, are acquired from a PET scanner. A model 3D image is preset, a modeled 2D TOF sinogram is generated from the model 3D image, and a modeled 3D TOF sinogram is generated from the 2D TOF sinogram based on an exact inverse rebinning relation in Fourier space. The model 3D image is corrected based on the 3D TOF sinogram and is provided as the reconstructed nuclear medical image. Techniques disclosed herein are useful for facilitating efficient medical imaging, e.g., for diagnosis of various bodily conditions.
    Type: Application
    Filed: September 22, 2009
    Publication date: March 25, 2010
    Applicant: Siemens Medical Solutions USA, Inc.
    Inventors: Michel Defrise, Vladimir Y. Panin
  • Publication number: 20100072375
    Abstract: Time-of-flight (TOF) clinical data collected during a PET scan are very sparse and have significant size. These data undergo TOF axial rebinning and azimuthal mashing if histogrammed data-based reconstruction algorithms are used. In a clinical environment, TOF compression is typically performed by the hardware rebinner. Normalization data, acquired on a regular basis and used for estimation of some norm components, are compressed by the hardware rebinner in a similar manner. This disclosure presents simple update iterative algorithms for crystal efficiencies norm component estimation from TOF compressed normalization data. Previously known methods are not directly applicable since the compression procedure significantly complicates normalization data model equations. The iterative algorithms presented herein have advantages of being easily adapted to any acquisition geometry, and of allowing estimation of parameters at crystal level when a number of crystals is relatively small.
    Type: Application
    Filed: May 11, 2009
    Publication date: March 25, 2010
    Applicant: SIEMENS MEDICAL SOLUTIONS USA, INC.
    Inventor: Vladimir Y. Panin
  • Publication number: 20100067758
    Abstract: Point spread function (PSF) radial filtering in a line of response space. Modeling a radial component, R, of a point spread filter as a function of at least a radial projection index ?, a radial image space coordinate r, and an azimuth ?. The index ? is characterized by an asymmetrical Gaussian distribution having where ?left(r) and ?right(r) derived from point source measurements, and an adjustment ?J(r, ?) estimated from point source sinogram by Josephs' projector.
    Type: Application
    Filed: September 16, 2009
    Publication date: March 18, 2010
    Applicant: SIEMENS MEDICAL SOLUTIONS USA, INC.
    Inventors: Michael E. Casey, Vladimir Y. Panin
  • Publication number: 20100057819
    Abstract: The use of the ordinary Poisson iterative reconstruction algorithm in PET requires the estimation of expected random coincidences. In a clinical environment, random coincidences are often acquired with a delayed coincidence technique, and expected randoms are estimated through variance reduction (VR) of measured delayed coincidences. In this paper we present iterative VR algorithms for random compressed sinograms, when previously known methods are not applicable. Iterative methods have the advantage of easy adaptation to any acquisition geometry and of allowing the estimation of singles rates at the crystal level when the number of crystals is relatively small. Two types of sinogram compression are considered: axial (span) rebinning and transaxial mashing. A monotonic sequential coordinate descent algorithm, which optimizes the Least Squares objective function, is investigated.
    Type: Application
    Filed: May 11, 2009
    Publication date: March 4, 2010
    Applicant: SIEMENS MEDICAL SOLUTIONS USA, INC.
    Inventor: Vladimir Y. Panin
  • Patent number: 6539103
    Abstract: A method of constructing a non-uniform attenuation map (460) of a subject for use in image reconstruction of SPECT data is provided. It includes collecting a population of a priori transmission images and storing them in an a priori image memory (400). The transmission images not of the subject. Next, a cross-correlation matrix (410) is generated from the population of transmission images. The eigenvectors (420) of the cross-correlation matrix (410) are calculated. A set of orthonormal basis vectors (430) is generated from the eigenvectors (420). A linear combination of the basis vectors (420) is constructed (440), and coefficients for the basis vectors are determined (450) such that the linear combination thereof defines the non-uniform attenuation map (460).
    Type: Grant
    Filed: November 10, 1998
    Date of Patent: March 25, 2003
    Assignee: The University of Utah
    Inventors: Vladimir Y. Panin, Gengsheng Lawrence Zeng, Grant T. Gullberg