Patents by Inventor Zhoubo Li

Zhoubo Li 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: 11328391
    Abstract: System and methods are provided for producing computed tomography (CT) images. In some aspects, a method includes obtaining medical image data sets acquired using the multiple energies of irradiating radiation and analyzing the medical image data sets for spatial and spectral features. The method also includes comparing the spatial and spectral features of the medical image data sets to identify similarities and using the similarities, weighting the medical image data sets to generate images of the subject having reduced noise compared to images of the subject produced from the medical image data sets without weighting.
    Type: Grant
    Filed: May 8, 2017
    Date of Patent: May 10, 2022
    Assignee: Mayo Foundation for Medical Education and Research
    Inventors: Zhoubo Li, Cynthia H. McCollough, Shuai Leng, Lifeng Yu, Armando Manduca
  • Patent number: 11246555
    Abstract: Methods and systems are provided for dual energy imaging. In one embodiment, a method for a dual energy imaging system comprises determining a first tube potential and a second tube potential according to a size of a subject, and controlling the dual energy imaging system with the first tube potential and the second tube potential to generate lower energy x-rays and higher energy x-rays respectively to image the subject. In this way, image quality may be increased while minimizing dose during dual energy imaging of a particular imaging subject.
    Type: Grant
    Filed: May 17, 2019
    Date of Patent: February 15, 2022
    Assignee: GE Precision Healthcare LLC
    Inventors: Jiahua Fan, Zhoubo Li, Mingye Wu, Ryan Lemminger, Priti Madhav, Rajeshwari Karthikeyan
  • Publication number: 20210405228
    Abstract: Described here are systems and methods for optimization techniques for automatically selecting x-ray beam spectra, energy threshold, energy bin settings, and other imaging technique parameters for photon-counting detector computed tomography (“PCCT”). The techniques described here are generally based on subject or object size, material of interest, and location of the target material. Advantageously, the optimizations can be integrated with different PCCT systems to automatically select optimal imaging technique parameters before scanning a particular subject or object.
    Type: Application
    Filed: September 9, 2021
    Publication date: December 30, 2021
    Inventors: Cynthia H. McCollough, Zhoubo Li, Shuai Leng
  • Patent number: 11143767
    Abstract: Described here are systems and methods for optimization techniques for automatically selecting x-ray beam spectra, energy threshold, energy bin settings, and other imaging technique parameters for photon-counting detector computed tomography (“PCCT”). The techniques described here are generally based on subject or object size, material of interest, and location of the target material. Advantageously, the optimizations can be integrated with different PCCT systems to automatically select optimal imaging technique parameters before scanning a particular subject or object.
    Type: Grant
    Filed: June 25, 2020
    Date of Patent: October 12, 2021
    Assignee: Mayo Foundation for Medical Education and Research
    Inventors: Cynthia H. McCollough, Zhoubo Li, Shuai Leng
  • Publication number: 20200359987
    Abstract: Methods and systems are provided for dual energy imaging. In one embodiment, a method for a dual energy imaging system comprises determining a first tube potential and a second tube potential according to a size of a subject, and controlling the dual energy imaging system with the first tube potential and the second tube potential to generate lower energy x-rays and higher energy x-rays respectively to image the subject. In this way, image quality may be increased while minimizing dose during dual energy imaging of a particular imaging subject.
    Type: Application
    Filed: May 17, 2019
    Publication date: November 19, 2020
    Inventors: Jiahua Fan, Zhoubo Li, Mingye Wu, Ryan Lemminger, Priti Madhav, Rajeshwari Karthikeyan
  • Publication number: 20200326439
    Abstract: Described here are systems and methods for optimization techniques for automatically selecting x-ray beam spectra, energy threshold, energy bin settings, and other imaging technique parameters for photon-counting detector computed tomography (“PCCT”). The techniques described here are generally based on subject or object size, material of interest, and location of the target material. Advantageously, the optimizations can be integrated with different PCCT systems to automatically select optimal imaging technique parameters before scanning a particular subject or object.
    Type: Application
    Filed: June 25, 2020
    Publication date: October 15, 2020
    Inventors: Cynthia H. McCollough, Zhoubo Li, Shuai Leng
  • Publication number: 20200281552
    Abstract: A system and method is provided for performing material decomposition using a computed tomography (CT) system. The method includes acquiring CT imaging data of an object including data subsets corresponding to at least two different energy spectral bins and using the CT imaging data at each of the at least two different energy spectral bins to form a series of equations for basis material decomposition. The method also includes using a general physical constraint, which quantifies how each basis material in the object is mixed together to form the object, within the series of equations. The method also includes determining at least one basis material density of the object using the physical constraint and the CT imaging data and generating an image of the object using the CT imaging data and the mass densities of at least one basis material.
    Type: Application
    Filed: October 8, 2018
    Publication date: September 10, 2020
    Inventors: Cynthia H. McCollough, Shuai Leng, Zhoubo Li, Lifeng Yu
  • Patent number: 10732309
    Abstract: Described here are systems and methods for optimization techniques for automatically selecting x-ray beam spectra, energy threshold, energy bin settings, and other imaging technique parameters for photon-counting detector computed tomography (“PCCT”). The techniques described here are generally based on subject or object size, material of interest, and location of the target material. Advantageously, the optimizations can be integrated with different PCCT systems to automatically select optimal imaging technique parameters before scanning a particular subject or object.
    Type: Grant
    Filed: February 23, 2016
    Date of Patent: August 4, 2020
    Assignee: Mayo Foundation for Medical Education and Research
    Inventors: Cynthia H. McCollough, Zhoubo Li, Shuai Leng
  • Publication number: 20190374183
    Abstract: A system and method for determining stenosis severity in a subject's vasculature using multi-energy computer tomography (MECT) imaging is provided. In some aspects, the method includes acquiring MECT data using a CT system, performing a material decomposition process on acquired MECT data to generate one or more material density maps, and selecting, using the one or more material density maps, one or more regions of interest (ROIs) encompassing at least one vessel cross-section. The method also includes measuring an iodine content in the one or more ROIs, and determining a stenosis severity based on the measured iodine content. The method further includes generating a report indicating the stenosis severity associated with the subject's vasculature.
    Type: Application
    Filed: November 21, 2017
    Publication date: December 12, 2019
    Inventors: Zhoubo Li, Cynthia H. McCollough, Lifeng Yu
  • Patent number: 10383589
    Abstract: Methods and systems are provided for direct monochromatic image generation for spectral computed tomography. In one embodiment, a method comprises acquiring projection data during a scan of a subject, reconstructing a low energy image and a high energy image from the projection data, and generating a monochromatic image from the low energy image and the high energy image. In this way, a monochromatic image may be generated directly from low and high energy images with a substantial reduction in image noise, especially when compared to a monochromatic image generated indirectly from material density images.
    Type: Grant
    Filed: December 1, 2017
    Date of Patent: August 20, 2019
    Assignee: General Electric Company
    Inventors: Jiang Hsieh, Zhoubo Li, Brian Edward Nett, Meghan Lynn Yue, Roy A. Nilsen
  • Publication number: 20190213715
    Abstract: System and methods are provided for producing computed tomography (CT) images. In some aspects, a method includes obtaining medical image data sets acquired using the multiple energies of irradiating radiation and analyzing the medical image data sets for spatial and spectral features. The method also includes comparing the spatial and spectral features of the medical image data sets to identify similarities and using the similarities, weighting the medical image data sets to generate images of the subject having reduced noise compared to images of the subject produced from the medical image data sets without weighting.
    Type: Application
    Filed: May 8, 2017
    Publication date: July 11, 2019
    Inventors: Zhoubo Li, Cynthia H. McCollough, Shuai Leng, Lifeng Yu, Armando Manduca
  • Publication number: 20190167218
    Abstract: Methods and systems are provided for direct monochromatic image generation for spectral computed tomography. In one embodiment, a method comprises acquiring projection data during a scan of a subject, reconstructing a low energy image and a high energy image from the projection data, and generating a monochromatic image from the low energy image and the high energy image. In this way, a monochromatic image may be generated directly from low and high energy images with a substantial reduction in image noise, especially when compared to a monochromatic image generated indirectly from material density images.
    Type: Application
    Filed: December 1, 2017
    Publication date: June 6, 2019
    Inventors: Jiang Hsieh, Zhoubo Li, Brian Edward Nett, Meghan Lynn Yue, Roy A. Nilsen
  • Publication number: 20180038969
    Abstract: Described here are systems and methods for optimization techniques for automatically selecting x-ray beam spectra, energy threshold, energy bin settings, and other imaging technique parameters for photon-counting detector computed tomography (“PCCT”). The techniques described here are generally based on subject or object size, material of interest, and location of the target material. Advantageously, the optimizations can be integrated with different PCCT systems to automatically select optimal imaging technique parameters before scanning a particular subject or object.
    Type: Application
    Filed: February 23, 2016
    Publication date: February 8, 2018
    Applicant: Mayo Foundation for Medical Education and Research
    Inventors: Cynthia H. McCollough, Zhoubo Li, Shuai Leng
  • Patent number: 9036771
    Abstract: A system and method is provided for estimating the local noise of CT images and denoising the images using a modified non-local means (NLM) algorithm that is adaptive to local variations of noise levels. A strategy for efficiently estimating the local noise of CT images is also described.
    Type: Grant
    Filed: February 7, 2013
    Date of Patent: May 19, 2015
    Assignee: Mayo Foundation for Medical Education and Research
    Inventors: Lifeng Yu, Armando Manduca, Zhoubo Li, Joel G. Fletcher, Cynthia H. McCollough
  • Publication number: 20130202080
    Abstract: A system and method is provided for estimating the local noise of CT images and denoising the images using a modified non-local means (NLM) algorithm that is adaptive to local variations of noise levels. A strategy for efficiently estimating the local noise of CT images is also described.
    Type: Application
    Filed: February 7, 2013
    Publication date: August 8, 2013
    Inventors: Lifeng Yu, Armando Manduca, Zhoubo Li, Joel G. Fletcher, Cynthia H. McCollough
  • Publication number: 20130202079
    Abstract: A system and method for reconstructing an image acquired by delivering an irradiating dose of radiation to a subject includes acquiring imaging data using a dose of irradiating radiation and selecting at least one of a plurality of mechanisms for reducing the dose that could be delivered to the subject to acquire additional imaging data. Noise is inserted into the imaging data to simulate the at least one of the plurality of mechanisms for reducing the dose that could be applied to acquire the additional imaging data to thereby generate simulated imaging data at a reduced dose of irradiating radiation. A simulated reduced dose image is reconstructed from the simulated imaging data. A method is provided for utilizing a non-local means filter adapted using a map of local noise to produce denoised medical imaging data reflecting reduced local nose levels from those in originally-acquired medical imaging data.
    Type: Application
    Filed: January 28, 2013
    Publication date: August 8, 2013
    Inventors: Lifeng Yu, Armando Manduca, Zhoubo Li, Joel G. Fletcher, Cynthia H. McCollough