Beijing Friendship Hospital, Capital Medical University

Tsinghua University

Largev Instrument Corp., Ltd.

Zhenchang Wang

Zhiqiang Chen

Yuanjing Li

Han Lv

Jing Li

Pengfei Zhao

Yawen Liu

Pengling Ren

Hongxia Yin

Linkun Cai

Dong Hui Liu

Wei Zheng

Tingting Zhang

Liang Li

Kejun Kang

Jianmin Li

Erwei Zhao

Dehong Luo

Jia Qi Li

Yuxiang Xing

Li Zhang

Jing Sun

Qian Chen

Wenbo Yang

Zhengyu Zhang

Xinghao Wang

Ruowei Tang

Dong Liu

Li Zhnag

Provided are a CT scanning method and system, an electronic device, and a computer-readable storage medium. The method includes: determining a first coordinate of a mark point of a part to be imaged in a dual-camera coordinate system; converting the first coordinate into a second coordinate of the mark point in a CT coordinate system according to coordinate system transformation parameters; generating first locating information according to the second coordinate to drive a scanning table to move to a first location designated by the first locating information; obtaining projection images of the part to be scanned; determining second locating information and scanning information of the part to be scanned according to the projection images; and driving the scanning table to move to a second location designated by the second locating information according to the second locating information and performing CT scanning according to the scanning information.

CT scanning method and system, electronic device, and computer-readable storage medium

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. Meanwhile, the relation between hearing disorder and brain microstructure change is disclosed.

Hearing state prediction apparatus and method based on diffusion tensor image

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.

Cerebral perfusion state classification apparatus and method, device, and storage medium

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.

Cerebral perfusion state classification apparatus, method and device, and model training apparatus

Growing community of inventors

Beijing, China

Zhenchang Wang