Patents by Inventor Guotao QUAN
Guotao QUAN 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).
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Publication number: 20240177008Abstract: The disclosure relates to a system and a method for generating a neural network model for image processing by interacting with at least one client terminal. The method may include receiving via a network, a plurality of first training samples from the at least one client terminal. The method may also include training a first neural network model based on the plurality of first training samples to generate a second neural network model. The method may further include transmitting, via the network, the second neural network model to the at least one client terminal.Type: ApplicationFiled: February 8, 2024Publication date: May 30, 2024Applicant: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.Inventors: Yuan BAO, Guotao QUAN
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Publication number: 20240135516Abstract: Systems and methods for motion correction in medical imaging are provided in the present disclosure. The systems may obtain at least two image sequences relating to a subject. Each of the at least two image sequences may be reconstructed based on image data that is acquired by a medical imaging device during one of at least two time periods. The subject may undergo a physiological motion during the at least two time periods. The systems may generate, based on the at least two image sequences, at least one corrected image sequence relating to the subject by correcting, using a motion correction model, an artifact caused by the physiological motion.Type: ApplicationFiled: December 11, 2023Publication date: April 25, 2024Applicant: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.Inventors: Guotao QUAN, Yi WANG, Jiao TIAN
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Patent number: 11907852Abstract: The disclosure relates to a system and a method for generating a neural network model for image processing by interacting with at least one client terminal. The method may include receiving via a network, a plurality of first training samples from the at least one client terminal. The method may also include training a first neural network model based on the plurality of first training samples to generate a second neural network model. The method may further include transmitting, via the network, the second neural network model to the at least one client terminal.Type: GrantFiled: March 6, 2023Date of Patent: February 20, 2024Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.Inventors: Yuan Bao, Guotao Quan
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Publication number: 20240037762Abstract: The present disclosure is related to systems and methods for image processing. The method includes obtaining, from a first image set of a subject acquired at a first time point, a first image; obtaining, from a second image set of the subject acquired at a second time point, a second image, wherein the first image and the second image correspond to a same region of the subject; determining a displacement vector field based on the first image and the second image; and generating a target image based on the displacement vector field, the first image set and the second image set.Type: ApplicationFiled: October 8, 2023Publication date: February 1, 2024Applicant: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.Inventors: Zhongliang ZHANG, Guotao QUAN, Yuan BAO, Jianwei FU
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Patent number: 11842465Abstract: Systems and methods for motion correction in medical imaging are provided in the present disclosure. The systems may obtain at least two image sequences relating to a subject. Each of the at least two image sequences may be reconstructed based on image data that is acquired by a medical imaging device during one of at least two time periods. The subject may undergo a physiological motion during the at least two time periods. The systems may generate, based on the at least two image sequences, at least one corrected image sequence relating to the subject by correcting, using a motion correction model, an artifact caused by the physiological motion.Type: GrantFiled: November 21, 2020Date of Patent: December 12, 2023Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.Inventors: Guotao Quan, Yi Wang, Jiao Tian
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Publication number: 20230222346Abstract: The disclosure relates to a system and a method for generating a neural network model for image processing by interacting with at least one client terminal. The method may include receiving via a network, a plurality of first training samples from the at least one client terminal. The method may also include training a first neural network model based on the plurality of first training samples to generate a second neural network model. The method may further include transmitting, via the network, the second neural network model to the at least one client terminal.Type: ApplicationFiled: March 6, 2023Publication date: July 13, 2023Applicant: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.Inventors: Yuan BAO, Guotao QUAN
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Publication number: 20230165556Abstract: The present disclosure relates to a method, system and non-transitory computer readable medium. In some embodiments, the method includes: acquiring image data of a target subject positioned on a scanning table; determining, by a processor, first position information of the target subject based on the image data; determining, by the processor, second position information related to a scan region of the target subject based on the image data; and scanning, using an imaging device, the target subject based on the first position information and the second position information.Type: ApplicationFiled: January 30, 2023Publication date: June 1, 2023Applicant: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.Inventor: Guotao QUAN
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Publication number: 20230086070Abstract: Some embodiments of the present disclosure may relate to an image processing system and method. The image processing system and method may include: obtaining an initial image; determining, based on the initial image, a plurality of to-be-processed images related to the initial image; and processing the plurality of to-be-processed images based on a processing model to obtain a target image of the initial image.Type: ApplicationFiled: November 24, 2022Publication date: March 23, 2023Applicant: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.Inventors: Yanyan LIU, Guotao QUAN
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Patent number: 11607565Abstract: A method may include obtaining first image data relating to a region of interest (ROI) of a first subject. The first image data corresponding to a first equivalent dose level may be acquired by a first device. The method may also include obtaining a model for denoising relating to the first image data and determining second image data corresponding to an equivalent dose level higher than the first equivalent dose level based on the first image data and the model for denoising. In some embodiments, the method may further include determining information relating to the ROI of the first subject based on the second image data and ecording the information relating to the ROI of the first subject.Type: GrantFiled: September 7, 2020Date of Patent: March 21, 2023Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.Inventors: Haining Sun, Guotao Quan, Yuan Bao, Wenjing Cao
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Patent number: 11599796Abstract: The disclosure relates to a system and a method for generating a neural network model for image processing by interacting with at least one client terminal. The method may include receiving via a network, a plurality of first training samples from the at least one client terminal. The method may also include training a first neural network model based on the plurality of first training samples to generate a second neural network model. The method may further include transmitting, via the network, the second neural network model to the at least one client terminal.Type: GrantFiled: December 27, 2018Date of Patent: March 7, 2023Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.Inventors: Yuan Bao, Guotao Quan
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Patent number: 11564653Abstract: The present disclosure relates to a method, system and non-transitory computer readable medium. In some embodiments, the method includes: acquiring image data of a target subject positioned on a scanning table of an imaging device; determining, by a processor, first position information of the target subject by inputting the image data into a first machine learning model, the first position information of the target subject including a posture of the target subject relative to the imaging device; determining, by the processor, second position information related to a scan region of the target subject by inputting the image data into a second machine learning model, the second position information including a position of the scan region relative to the scanning table and the imaging device; and causing the imaging device to scan the target subject based on the first position information and the second position information.Type: GrantFiled: November 17, 2020Date of Patent: January 31, 2023Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.Inventor: Guotao Quan
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Patent number: 11565130Abstract: A method may include obtaining first image data relating to a region of interest (ROI) of a first subject. The first image data corresponding to a first equivalent dose level may be acquired by a first device. The method may also include obtaining a model for denoising relating to the first image data and determining second image data corresponding to an equivalent dose level higher than the first equivalent dose level based on the first image data and the model for denoising. In some embodiments, the method may further include determining information relating to the ROI of the first subject based on the second image data and recording the information relating to the ROI of the first subject.Type: GrantFiled: July 31, 2020Date of Patent: January 31, 2023Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.Inventors: Haining Sun, Guotao Quan, Yuan Bao, Wenjing Cao
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Patent number: 11554272Abstract: A method may include obtaining first image data relating to a region of interest (ROI) of a first subject. The first image data corresponding to a first equivalent dose level may be acquired by a first device. The method may also include obtaining a model for denoising relating to the first image data and determining second image data corresponding to an equivalent dose level higher than the first equivalent dose level based on the first image data and the model for denoising. In some embodiments, the method may further include determining information relating to the ROI of the first subject based on the second image data and recording the information relating to the ROI of the first subject.Type: GrantFiled: July 31, 2020Date of Patent: January 17, 2023Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.Inventors: Haining Sun, Guotao Quan, Yuan Bao, Wenjing Cao
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Patent number: 11430162Abstract: A method may include obtaining a first set of projection data with respect to a first dose level; reconstructing, based on the first set of projection data, a first image; determining a second set of projection data based on the first set of projection data, the second set of projection data relating to a second dose level that is lower than the first dose level; reconstructing a second image based on the second set of projection data; and training a first neural network model based on the first image and the second image. In some embodiments, the trained first neural network model may be configured to convert a third image to a fourth image, the fourth image exhibiting a lower noise level and corresponding to a higher dose level than the third image.Type: GrantFiled: July 27, 2020Date of Patent: August 30, 2022Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.Inventors: Qianlong Zhao, Guotao Quan, Xiang Li
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Patent number: 11410351Abstract: Embodiments of the present disclosure may disclose a method for improving CT image quality. The method for improving the CT image quality may include obtaining SFS data. The SFS data may include SFS scan data or an SFS image. The SFS scan data may be acquired by a CT device in an SFS state. The SFS image may be generated by reconstructing scan data acquired by the CT device via scanning in the SFS state. The method may include generating a corresponding optimized image by processing the SFS data based on an image quality optimization model. The image quality optimization model may be a machine learning model. The present disclosure may simulate the SFS image as an FFS image using a deep neural network model, thereby improving a resolution of the SFS image and reduce artifacts in the SFS image.Type: GrantFiled: June 3, 2020Date of Patent: August 9, 2022Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.Inventors: Yuan Bao, Guotao Quan, Rengcai Yang
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Patent number: 11270478Abstract: A method for reconstructing an image may include obtaining scan data relating to a subject. The method may also include determining a first field of view (FOV) and determining a second FOV. The method may further include reconstructing a first image based on a first portion of the scan data corresponding to the first field of view, and reconstructing a second image based on a second portion of the scan data corresponding to the second field of view. The method may also include generating a third image based on the first image and the second image.Type: GrantFiled: July 22, 2019Date of Patent: March 8, 2022Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.Inventors: Xin Wang, Guotao Quan
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Publication number: 20210158492Abstract: Systems and methods for motion correction in medical imaging are provided in the present disclosure. The systems may obtain at least two image sequences relating to a subject. Each of the at least two image sequences may be reconstructed based on image data that is acquired by a medical imaging device during one of at least two time periods. The subject may undergo a physiological motion during the at least two time periods. The systems may generate, based on the at least two image sequences, at least one corrected image sequence relating to the subject by correcting, using a motion correction model, an artifact caused by the physiological motion.Type: ApplicationFiled: November 21, 2020Publication date: May 27, 2021Applicant: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.Inventors: Guotao QUAN, Yi WANG, Jiao TIAN
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Publication number: 20210068776Abstract: The present disclosure relates to a method, system and non-transitory computer readable medium. In some embodiments, the method includes: acquiring image data of a target subject positioned on a scanning table of an imaging device; determining, by a processor, first position information of the target subject by inputting the image data into a first machine learning model, the first position information of the target subject including a posture of the target subject relative to the imaging device; determining, by the processor, second position information related to a scan region of the target subject by inputting the image data into a second machine learning model, the second position information including a position of the scan region relative to the scanning table and the imaging device; and causing the imaging device to scan the target subject based on the first position information and the second position information.Type: ApplicationFiled: November 17, 2020Publication date: March 11, 2021Applicant: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.Inventor: Guotao QUAN
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Publication number: 20200398082Abstract: A method may include obtaining first image data relating to a region of interest (ROI) of a first subject. The first image data corresponding to a first equivalent dose level may be acquired by a first device. The method may also include obtaining a model for denoising relating to the first image data and determining second image data corresponding to an equivalent dose level higher than the first equivalent dose level based on the first image data and the model for denoising. In some embodiments, the method may further include determining information relating to the ROI of the first subject based on the second image data and ecording the information relating to the ROI of the first subject.Type: ApplicationFiled: September 7, 2020Publication date: December 24, 2020Applicant: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.Inventors: Haining SUN, Guotao QUAN, Yuan BAO, Wenjing CAO
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Patent number: 10856832Abstract: The present disclosure relates to a method, system and non-transitory computer readable medium. In some embodiments, the method includes: acquiring image data of a target subject positioned on a scanning table; determining, by a processor, first position information of the target subject based on the image data; determining, by the processor, second position information related to a scan region of the target subject based on the image data; and scanning, using an imaging device, the target subject based on the first position information and the second position information.Type: GrantFiled: September 20, 2017Date of Patent: December 8, 2020Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.Inventor: Guotao Quan