Invention Application
- Patent Title: METHOD FOR PREDICTING CLINICAL SEVERITY OF A NEUROLOGICAL DISORDER BY MAGNETIC RESONANCE IMAGING
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Application No.: US15923929Application Date: 2018-03-16
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Publication No.: US20180263569A1Publication Date: 2018-09-20
- Inventor: Jiun-Jie Wang , Yi-Hsin Weng , Shu-Hang Ng , Jur-Shan Cheng , Yi-Ming Wu , Yao-Liang Chen , Wey-Yil Lin , Chin-Song Lu , Wen-Chuin Hsu , Chia-Ling Chen , Yi-Chun Chen , Sung-Han Lin , Chih-Chien Tsai
- Applicant: Chang Gung University , Chang Gung Memorial Hospital, Linkou , Chang Gung Medical Foundation Chang Gung Memorial Hospital at Keelung
- Priority: TW106108918 20170317
- Main IPC: A61B5/00
- IPC: A61B5/00 ; G06T7/00 ; A61B5/055

Abstract:
A method for predicting clinical severity of a neurological disorder includes steps of: a) identifying, according to a magnetic resonance imaging (MRI) image of a brain, brain image regions each of which contains a respective portion of diffusion index values of a diffusion index, which results from image processing performed on the MRI image; b) for one of the brain image regions, calculating a characteristic parameter based on the respective portion of the diffusion index values; and c) calculating a severity score that represents the clinical severity of the neurological disorder of the brain based on the characteristic parameter of the one of the brain image regions via a prediction model associated with the neurological disorder.
Public/Granted literature
- US11931187B2 Method for predicting clinical severity of a neurological disorder by magnetic resonance imaging Public/Granted day:2024-03-19
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