Patents by Inventor Adam PETSCHKE

Adam PETSCHKE 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: 10716527
    Abstract: A method and apparatus is provided to generate material-component images from spectral computed tomography (CT) projection data, using material decomposition in both the sinogram and image domains. From material components in the sinogram domain, monoenergetic sinograms are generated, and then monoenergetic images are reconstructed from the monoenergetic sinograms. Next, the monoenergetic images are decomposed into material-component images. Material decomposition in the sinogram domain enables beam-hardening corrections, and material decomposition in the image domain enhances image quality using prior information regarding the images including (e.g., smoothness and volume constraints) and using image-domain calibrations. Additionally, the method can be improved using scatter correction and detector-response and energy-spectrum calibrations. Further, iterations of the method can be performed by feeding back the material-component images to improve the scatter correction.
    Type: Grant
    Filed: February 17, 2017
    Date of Patent: July 21, 2020
    Assignee: Canon Medical Systems Corporation
    Inventor: Adam Petschke
  • Patent number: 10499869
    Abstract: A method and apparatus is provided to decompose spectral computed tomography (CT) projection data into material components using singles-counts and total-counts projection data. The singles-counts projection data more accurately solves the material decomposition problem, but can produce multiple results only one of which is correct. The total-counts projection data generates a unique result, but is less precise. The total-counts projection data is used to disambiguate the multiple results of the singles-counts projection data providing a unique results that is also precise.
    Type: Grant
    Filed: February 5, 2016
    Date of Patent: December 10, 2019
    Assignee: Toshiba Medical Systems Corporation
    Inventors: Adam Petschke, Gin-Chung Wang, Yu Zou
  • Patent number: 10176603
    Abstract: A hybrid CT dataset is obtained from a combination of an integrating detector and a photon-counting detector. The hybrid CT dataset contains sparse spectral energy data and dense energy integration data. The dense panchromatic data sets inherit the resolution properties of the integrating detector while the sparse spectral data sets inherit the spectral information of the photon-counting detector. Subsequently, the sparse spectral energy data sets are pansharpened based upon at least one dense panchromatic data set that lacks spectral information according to a pansharpening algorithm.
    Type: Grant
    Filed: August 7, 2013
    Date of Patent: January 8, 2019
    Assignees: The University of Chicago, Toshiba Medical Systems Corporation
    Inventors: David Rigie, Patrick La Riviere, Adam Petschke, Yuexing Zhang
  • Publication number: 20180235562
    Abstract: A method and apparatus is provided to generate material-component images from spectral computed tomography (CT) projection data, using material decomposition in both the sinogram and image domains. From material components in the sinogram domain, monoenergetic sinograms are generated, and then monoenergetic images are reconstructed from the monoenergetic sinograms. Next, the monoenergetic images are decomposed into material-component images. Material decomposition in the sinogram domain enables beam-hardening corrections, and material decomposition in the image domain enhances image quality using prior information regarding the images including (e.g., smoothness and volume constraints) and using image-domain calibrations. Additionally, the method can be improved using scatter correction and detector-response and energy-spectrum calibrations. Further, iterations of the method can be performed by feeding back the material-component images to improve the scatter correction.
    Type: Application
    Filed: February 17, 2017
    Publication date: August 23, 2018
    Inventor: Adam PETSCHKE
  • Patent number: 9977140
    Abstract: An apparatus and method of processing X-ray projection data including spectral computed tomography (CT) projection data. The spectral CT data is decomposed into material projection lengths using a material-decomposition method that includes an initial-estimate method to provide an initial projection-lengths estimate. The initial-estimate method can include first reconstructing an image using non-spectral CT data, and then subdividing the reconstructed image into materials according to the relative attenuation density of areas within the reconstructed image (e.g., high attenuation areas correspond to a high attenuation material such as bone). The projection length estimates of each material are then obtained by forward projecting the corresponding subdivision of the reconstructed image. Also, the initial estimate can be obtained/refined by selecting the projection lengths with smallest cost-function value from randomly chosen projection lengths within a sample space.
    Type: Grant
    Filed: January 9, 2015
    Date of Patent: May 22, 2018
    Assignee: Toshiba Medical Systems Corporation
    Inventors: Xiaolan Wang, Yu Zou, Adam Petschke, Zhou Yu, Chunguang Cao
  • Patent number: 9761019
    Abstract: A method and apparatus is provided to reconstruct a collective image of a multiple method/geometry imaging system (e.g., a hybrid computed tomography system having energy-integrating detectors arranged in a third-generation geometry and photon-counting detectors arranged in a fourth generation geometry), wherein a splitting-based iterative algorithm using modified dual variables is used in the image reconstruction. Whereas a separate image for each method/geometry of the multiple method/geometry imaging system can be obtained by solving the distinct system-matrix equation corresponding to each respective method/geometry, the collective image is obtained by simultaneously solving a collective optimization problem including all respective system-matrix. The collective image is obtained more efficiently using variable splitting to subdivide the optimization into subproblems that are solved in an iterative fashion.
    Type: Grant
    Filed: January 8, 2015
    Date of Patent: September 12, 2017
    Assignee: TOSHIBA MEDICAL SYSTEMS CORPORATION
    Inventors: Zhou Yu, Yu Zou, Adam Petschke
  • Publication number: 20170224299
    Abstract: A method and apparatus is provided to decompose spectral computed tomography (CT) projection data into material components using singles-counts and total-counts projection data. The singles-counts projection data more accurately solves the material decomposition problem, but can produce multiple results only one of which is correct. The total-counts projection data generates a unique result, but is less precise. The total-counts projection data is used to disambiguate the multiple results of the singles-counts projection data providing a unique results that is also precise.
    Type: Application
    Filed: February 5, 2016
    Publication date: August 10, 2017
    Applicants: Toshiba Medical Systems Corporation
    Inventors: Adam PETSCHKE, Gin-Chung WANG, Yu ZOU
  • Patent number: 9687207
    Abstract: An apparatus and method of processing X-ray projection data obtained using photon-counting detectors and having multiple spectral components. The processing of the projection data includes correcting for nonlinear detector response, where the detector response model includes: pileup, ballistic deficit effects, polar effects, and characteristic X-ray escape. The processing of the projection data also includes a material decomposition mapping the projection data from spectral components into material components corresponding to high-Z and low-Z materials. The material decomposition includes a noise balancing process where the allocation of spectral components between a high-energy and a low-energy combination of spectral components is adjusted such that both high- and low-energy components have signal-to-noise ratios of similar magnitude. For computed tomography (CT) applications, material decomposition can be followed by image reconstruction and then image post-processing and presentation.
    Type: Grant
    Filed: April 1, 2015
    Date of Patent: June 27, 2017
    Assignee: TOSHIBA MEDICAL SYSTEMS CORPORATION
    Inventors: Yu Zou, Xiaolan Wang, Adam Petschke, Chunguang Cao, Yuexing Zhang
  • Patent number: 9672638
    Abstract: An apparatus and method of reconstructing a computed tomography (CT) image using multiple datasets of projective measurements, wherein the method of image reconstruction favors spatial correlations among the images respectively reconstructed from each of the corresponding multiple datasets. The multiple data sets each contain projective measurements of the same object taken in close temporal proximity, but taken with different detector type or configurations (e.g., different spectral components in spectral CT or different detector types in hybrid 3rd- and 4th-generation CT scanners). Reconstructed images minimizing a vectorial total variation norm satisfies the criteria of favoring images exhibiting spatial correlations among the reconstructed images and favoring a sparse gradient-magnitude image (i.e., edge enhancing image) for each reconstructed image.
    Type: Grant
    Filed: June 16, 2014
    Date of Patent: June 6, 2017
    Assignees: THE UNIVERSITY OF CHICAGO, TOSHIBA MEDICAL SYSTEMS CORPORATION
    Inventors: David Rigie, Patrick La Riviere, Adam Petschke
  • Publication number: 20160287205
    Abstract: An apparatus and method of processing X-ray projection data obtained using photon-counting detectors and having multiple spectral components. The processing of the projection data includes correcting for nonlinear detector response, where the detector response model includes: pileup, ballistic deficit effects, polar effects, and characteristic X-ray escape. The processing of the projection data also includes a material decomposition mapping the projection data from spectral components into material components corresponding to high-Z and low-Z materials. The material decomposition includes a noise balancing process where the allocation of spectral components between a high-energy and a low-energy combination of spectral components is adjusted such that both high- and low-energy components have signal-to-noise ratios of similar magnitude. For computed tomography (CT) applications, material decomposition can be followed by image reconstruction and then image post-processing and presentation.
    Type: Application
    Filed: April 1, 2015
    Publication date: October 6, 2016
    Applicants: KABUSHIKI KAISHA TOSHIBA, TOSHIBA MEDICAL SYSTEMS CORPORATION
    Inventors: Yu ZOU, Xiaolan WANG, Adam PETSCHKE, Chunguang CAO, Yuexing ZHANG
  • Patent number: 9459358
    Abstract: Calibrating a photon-counting detector can include receiving a reference signal, by circuitry, where the reference signal is measured by a reference detector that measures an output from an X-ray tube. Determining circuitry can then determine, for a detector channel of the photon-counting detector, a mapping between a first true count rate on the detector channel without an object and the reference signal in accordance with a linear relationship between the reference signal and the first true count rate, based on a measured count rate on the detector channel and a predefined relationship between the first true count rate and the measured count rate.
    Type: Grant
    Filed: December 11, 2013
    Date of Patent: October 4, 2016
    Assignee: TOSHIBA MEDICAL SYSTEMS CORPORATION
    Inventors: Xiaolan Wang, Yu Zou, Adam Petschke
  • Patent number: 9449385
    Abstract: An apparatus is provided to reconstruct an image using combined third-generation energy-integrating computed tomography projection data and fourth-generation spectrally resolved computed tomography projection data. The apparatus includes processing circuitry configured to obtain first projection data representing projection data from an energy-integrating detector; obtain second projection data representing projection data from a photon-counting spectrally discriminating detector; and reconstruct a first combined-system basis image and a second combined-system basis image by solving a combined-system matrix equation using the first projection data and the second projection data.
    Type: Grant
    Filed: June 2, 2014
    Date of Patent: September 20, 2016
    Assignee: Toshiba Medical Systems Corporation
    Inventors: Adam Petschke, Yu Zou, Zhou Yu
  • Patent number: 9437016
    Abstract: A hybrid CT dataset is obtained from a combination of a integrating detector and a photon-counting detector. The hybrid CT dataset contains low-resolution photon-counting data and high-resolution integrating data. High-resolution panchromatic images are generated from the high-resolution integrating data, and low-resolution spectral images are generated from the low-resolution photon-counting data. The high-resolution panchromatic images inherit the resolution properties of the integrating detector while the low-resolution spectral images inherit the spectral information of the photon-counting detector. Subsequently, the low resolution spectral images are pansharpened based upon at least one high resolution panchromatic image that lacks spectral information according to a pansharpening algorithm.
    Type: Grant
    Filed: August 7, 2013
    Date of Patent: September 6, 2016
    Assignees: Toshiba Medical Systems Corporation, The University of Chicago
    Inventors: David Rigie, Patrick La Riviere, Adam Petschke
  • Publication number: 20160217594
    Abstract: A global optimization and apparatus to decompose spectral computed tomography (CT) projection data into basis materials. A cost function is defined to represent the difference between the measured projection data and calculated attenuation data using projection lengths for the basis materials with corresponding material models and a detector model to calculate the detector response. The cost function may have many local minima and only one global minima. A global optimization method is then used to obtain the projection lengths corresponding to the global minimum of the cost function. The global optimization method can be either a single-stage optimization method, or can be performed in multiple stages, e.g., a first coarse optimization stage followed by a second fine optimization stage using the final values of the first stage as the inputs into the second stage. The global optimization method can be a stochastic optimization method.
    Type: Application
    Filed: January 22, 2015
    Publication date: July 28, 2016
    Applicants: KABUSHIKI KAISHA TOSHIBA, TOSHIBA MEDICAL SYSTEMS CORPORATION
    Inventors: Adam PETSCHKE, Yu ZOU, Zhou YU, Xiaolan WANG
  • Publication number: 20160203619
    Abstract: A method and apparatus is provided to reconstruct a collective image of a multiple method/geometry imaging system (e.g., a hybrid computed tomography system having energy-integrating detectors arranged in a third-generation geometry and photon-counting detectors arranged in a fourth generation geometry), wherein a splitting-based iterative algorithm using modified dual variables is used in the image reconstruction. Whereas a separate image for each method/geometry of the multiple method/geometry imaging system can be obtained by solving the distinct system-matrix equation corresponding to each respective method/geometry, the collective image is obtained by simultaneously solving a collective optimization problem including all respective system-matrix. The collective image is obtained more efficiently using variable splitting to subdivide the optimization into subproblems that are solved in an iterative fashion.
    Type: Application
    Filed: January 8, 2015
    Publication date: July 14, 2016
    Applicants: Kabushiki Kaisha Toshiba, Toshiba Medical Systems Corporation
    Inventors: Zhou YU, Yu ZOU, Adam PETSCHKE
  • Publication number: 20160202364
    Abstract: An apparatus and method of processing X-ray projection data including spectral computed tomography (CT) projection data. The spectral CT data is decomposed into material projection lengths using a material-decomposition method that includes an initial-estimate method to provide an initial projection-lengths estimate. The initial-estimate method can include first reconstructing an image using non-spectral CT data, and then subdividing the reconstructed image into materials according to the relative attenuation density of areas within the reconstructed image (e.g., high attenuation areas correspond to a high attenuation material such as bone). The projection length estimates of each material are then obtained by forward projecting the corresponding subdivision of the reconstructed image. Also, the initial estimate can be obtained/refined by selecting the projection lengths with smallest cost-function value from randomly chosen projection lengths within a sample space.
    Type: Application
    Filed: January 9, 2015
    Publication date: July 14, 2016
    Applicants: Kabushiki Kaisha Toshiba, Toshiba Medical Systems Corporation
    Inventors: Xiaolan WANG, Yu ZOU, Adam PETSCHKE, Zhou YU, Chunguang CAO
  • Patent number: 9345445
    Abstract: A method is provided for determining, in a fourth-generation computed tomography (CT) scanner, a positional offset of a center of a ring of fixed energy-discriminating detectors with respect to an iso-center of a third-generation X-ray source/detector system. The method includes obtaining a plurality of offset images, each offset image being obtained from a scan executed with the ring of fixed energy-discriminating detectors positioned in a known offset location with respect to the iso-center; performing a current scan executed with the ring positioned in an unknown offset location with respect to the iso-center, to obtain a current image; calculating, for each offset image, a corresponding error value between the offset image and the current image; and determining the positional offset of the center of the ring to be an offset location corresponding to an offset image having the smallest error value.
    Type: Grant
    Filed: March 5, 2014
    Date of Patent: May 24, 2016
    Assignees: KABUSHIKI KAISHA TOSHIBA, TOSHIBA MEDICAL SYSTEMS CORPORATION
    Inventors: Adam Petschke, Yuexing Zhang, Xiaolan Wang
  • Patent number: 9256938
    Abstract: A method and an apparatus for determining primary and secondary escape probabilities for a large photon-counting detector without pile-up. A model for the detector with no pile-up is formulated and used for spectrum correction in a computed tomography scanner. The method includes computing primary K-escape and secondary K-escape probabilities occurring at a certain depth within the photon-counting detector. Further, a no pile-up model for the photon-counting detector is formulated by determining a response function, based on the computed primary and secondary K-escape probabilities and geometry of the photon-counting detector. The method includes obtaining a measured CT scan of an object and further performs spectrum correction by determining the incident input spectrum based on the response function and the measured spectrum of the large photon-counting detector.
    Type: Grant
    Filed: February 26, 2014
    Date of Patent: February 9, 2016
    Assignees: KABUSHIKI KAISHA TOSHIBA, TOSHIBA MEDICAL SYSTEMS CORPORATION
    Inventors: Adam Petschke, Yu Zou
  • Publication number: 20150363947
    Abstract: An apparatus and method of reconstructing a computed tomography (CT) image using multiple datasets of projective measurements, wherein the method of image reconstruction favors spatial correlations among the images respectively reconstructed from each of the corresponding multiple datasets. The multiple data sets each contain projective measurements of the same object taken in close temporal proximity, but taken with different detector type or configurations (e.g., different spectral components in spectral CT or different detector types in hybrid 3rd- and 4th-generation CT scanners). Reconstructed images minimizing a vectorial total variation norm satisfies the criteria of favoring images exhibiting spatial correlations among the reconstructed images and favoring a sparse gradient-magnitude image (i.e., edge enhancing image) for each reconstructed image.
    Type: Application
    Filed: June 16, 2014
    Publication date: December 17, 2015
    Applicants: The University of Chicago, Toshiba Medical Systems Corporation
    Inventors: David Rigie, Patrick La Riviere, Adam Petschke
  • Publication number: 20150348258
    Abstract: An apparatus is provided to reconstruct an image using combined third-generation energy-integrating computed tomography projection data and fourth-generation spectrally resolved computed tomography projection data. The apparatus includes processing circuitry configured to obtain first projection data representing projection data from an energy-integrating detector; obtain second projection data representing projection data from a photon-counting spectrally discriminating detector; and reconstruct a first combined-system basis image and a second combined-system basis image by solving a combined-system matrix equation using the first projection data and the second projection data.
    Type: Application
    Filed: June 2, 2014
    Publication date: December 3, 2015
    Applicants: Kabushiki Kaisha Toshiba, Toshiba Medical Systems Corporation
    Inventors: Adam Petschke, Yu Zou, Zhou Yu