利用磁振造影影像預測神經疾病的臨床嚴重度的方法

Translated title of the contribution: Method for predicting clinical severity of neurological diseases by utilizing the magnetic resonance imaging images

Jur-Shan Cheng (Inventor), Yi-Hsin Weng (Inventor), Chia-Ling Chen (Inventor), Chin-Song Lu (Inventor), Jiun-Jie Wang (Inventor), Shu-Hang Ng (Inventor), ZHI-QIAN CAI (Inventor), YI-JUN CHEN (Inventor), SONG-HAN LIN (Inventor), WEI-YI LIN (Inventor), YAO-LIANG CHEN (Inventor), YI-MIN WU (Inventor), WEN-JUN XU (Inventor)

Research output: Patent

Abstract

The method for predicting the clinical severity of the neurological diseases by utilizing the magnetic resonance imaging (MRI) images is implemented by a computing device, with predictions carried out according to at least one MRI image of the brain of a subject, and comprises the following steps: generating a plurality of brain image partitions according to at least one MRI image, wherein each brain image partition corresponds to at least one diffusion index and a plurality of diffusion index values of the diffusion index; for at least one diffusion index corresponding to at least one brain image partition, generating at least one characteristic parameter according to the diffusion index values of the diffusion index; and utilizing a prediction model corresponding to the neurological disease to predict the evaluation score of the clinical severity of the subject related to the neurological disease according to at least the characteristic parameters of at least one brain image partition.
Translated title of the contributionMethod for predicting clinical severity of neurological diseases by utilizing the magnetic resonance imaging images
Original languageChinese (Traditional)
IPCG06T-007/60(2017.01);A61B-005/055(2006.01)
StatePublished - 01 10 2018

Bibliographical note

公開公告號: 2.01835857E8
Announcement ID: 2.01835857E8

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