Method for predicting clinical severity of a neurological disorder by magnetic resonance imaging
US11931187B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Mar 16, 2018 |
| Grant date | Mar 19, 2024 |
| Priority date | — |
| Expiry date | Aug 16, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30016
- WIPO fieldMedical technology
- WIPO sectorInstruments
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.