Patents by Inventor Linkun CAI

Linkun CAI 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: 12183002
    Abstract: Disclosed are a hearing state prediction apparatus and method based on a diffusion tensor image, including: obtaining a diffusion tensor image to be processed, wherein the diffusion tensor image comprises a diffusion-weighted image; generating a diffusion index image based on the diffusion-weighted image; determining a white matter microstructural feature corresponding to the diffusion tensor image, and determining a hearing state corresponding to the diffusion tensor image according to a mapping relationship between the white matter microstructural feature and the hearing state. The apparatus may generate the diffusion index image through the diffusion-weighted image included in the diffusion tensor image, and then the white matter microstructural feature is determined based on the diffusion index image, so that the white matter microstructural feature can be identified more accurately, and the accuracy of a hearing state evaluation result is improved.
    Type: Grant
    Filed: April 12, 2024
    Date of Patent: December 31, 2024
    Assignee: BEIJING FRIENDSHIP HOSPITAL, CAPITAL MEDICAL UNIVERSITY
    Inventors: Zhenchang Wang, Xinghao Wang, Qian Chen, Han Lv, Jia Li, Jing Sun, Linkun Cai, Ruowei Tang, Pengling Ren, Yawen Liu, Wenbo Yang
  • Publication number: 20240354941
    Abstract: Disclosed are a hearing state prediction apparatus and method based on a diffusion tensor image, including: obtaining a diffusion tensor image to be processed, wherein the diffusion tensor image comprises a diffusion-weighted image; generating a diffusion index image based on the diffusion-weighted image; determining a white matter microstructural feature corresponding to the diffusion tensor image, and determining a hearing state corresponding to the diffusion tensor image according to a mapping relationship between the white matter microstructural feature and the hearing state. The apparatus may generate the diffusion index image through the diffusion-weighted image included in the diffusion tensor image, and then the white matter microstructural feature is determined based on the diffusion index image, so that the white matter microstructural feature can be identified more accurately, and the accuracy of a hearing state evaluation result is improved.
    Type: Application
    Filed: April 12, 2024
    Publication date: October 24, 2024
    Applicant: BEIJING FRIENDSHIP HOSPITAL, CAPITAL MEDICAL UNIVERSITY
    Inventors: Zhenchang WANG, Xinghao WANG, Qian CHEN, Han LV, Jia LI, Jing SUN, Linkun CAI, Ruowei TANG, Pengling REN, Yawen LIU, Wenbo YANG
  • Patent number: 11931208
    Abstract: The present application discloses a cerebral perfusion state classification apparatus and method, a device, and a storage medium. The method includes: acquiring, by a transceiving module, cervical blood flow data from an ultrasound data collecting device; determining, by a processor, cerebral perfusion data corresponding to the cervical blood flow data based on the cervical blood flow data and a mapping relationship between the cervical blood flow data and the cerebral perfusion data, and classifying cerebral perfusion states of a plurality of brain regions based on blood perfusion characteristics of the plurality of brain regions in the cerebral perfusion data.
    Type: Grant
    Filed: May 20, 2022
    Date of Patent: March 19, 2024
    Assignee: BEIJING FRIENDSHIP HOSPITAL, CAPITAL MEDICAL UNIVERSITY
    Inventors: Zhenchang Wang, Wei Zheng, Han Lv, Pengling Ren, Dehong Luo, Linkun Cai, Yawen Liu, Hongxia Yin, Pengfei Zhao, Jing Li, Dong Liu, Erwei Zhao, Tingting Zhang
  • Publication number: 20230125247
    Abstract: The present application discloses a cerebral perfusion state classification apparatus and method, a device, and a storage medium. The method includes: acquiring, by a transceiving module, cervical blood flow data from an ultrasound data collecting device; determining, by a processor, cerebral perfusion data corresponding to the cervical blood flow data based on the cervical blood flow data and a mapping relationship between the cervical blood flow data and the cerebral perfusion data, and classifying cerebral perfusion states of a plurality of brain regions based on blood perfusion characteristics of the plurality of brain regions in the cerebral perfusion data.
    Type: Application
    Filed: May 20, 2022
    Publication date: April 27, 2023
    Applicant: CAPITAL MEDICAL UNIVERSITY AFFILIATED BEIJING FRIENDSHIP HOSPITAL
    Inventors: Zhenchang WANG, Wei ZHENG, Han LV, Pengling REN, Dehong LUO, Linkun CAI, Yawen LIU, Hongxia YIN, Pengfei ZHAO, Jing LI, Dong LIU, Erwei ZHAO, Tingting ZHANG
  • Patent number: 11621079
    Abstract: The present disclosure discloses a cerebral perfusion state classification apparatus, method and device, and a model training apparatus. In the apparatus, a transceiver module is used for receiving physiological feature data from different data collection devices; and a processor is used for extracting physiological features from the physiological feature data; inputting the physiological features into a random forest model to cause a plurality of decision-making trees in the random forest model to predict a cerebral perfusion state type corresponding to the physiological features; and classifying a cerebral perfusion state based on the cerebral perfusion state type corresponding to the physiological features.
    Type: Grant
    Filed: May 20, 2022
    Date of Patent: April 4, 2023
    Assignee: BEIJING FRIENDSHIP HOSPITAL, CAPITAL MEDICAL UNIVERSITY
    Inventors: Zhenchang Wang, Wei Zheng, Han Lv, Pengling Ren, Dehong Luo, Linkun Cai, Yawen Liu, Hongxia Yin, Pengfei Zhao, Jing Li, Dong Liu, Erwei Zhao, Tingting Zhang
  • Publication number: 20230056555
    Abstract: The present disclosure discloses a cerebral perfusion state classification apparatus, method and device, and a model training apparatus. In the apparatus, a transceiver module is used for receiving physiological feature data from different data collection devices; and a processor is used for extracting physiological features from the physiological feature data; inputting the physiological features into a random forest model to cause a plurality of decision-making trees in the random forest model to predict a cerebral perfusion state type corresponding to the physiological features; and classifying a cerebral perfusion state based on the cerebral perfusion state type corresponding to the physiological features.
    Type: Application
    Filed: May 20, 2022
    Publication date: February 23, 2023
    Applicant: CAPITAL MEDICAL UNIVERSITY AFFILIATED BEIJING FRIENDSHIP HOSPITAL
    Inventors: Zhenchang WANG, Wei ZHENG, Han LV, Pengling REN, Dehong LUO, Linkun CAI, Yawen LIU, Hongxia YIN, Pengfei ZHAO, Jing LI, Dong LIU, Erwei ZHAO, Tingting ZHANG