Systems and methods for the identification of perivascular spaces in magnetic resonance imaging (MRI)
US11055565B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 29, 2019 |
| Grant date | Jul 6, 2021 |
| Priority date | — |
| Expiry date | Dec 23, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/03
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed herein are methods and systems for the identification and characterization of perivascular spaces in the cerebral vasculature using magnetic resonance imaging (MRI) data. The disclosed methods allow for automated and unbiased quantification of enlarged perivascular space (ePVS) in a subject, and thus can provide a substantial improvement over manual grading methods used in the art. An example method includes receiving an MRI dataset including voxels having intensity values, identifying a set of candidate voxels within the MRI dataset based on the intensity values; grouping the set of candidate voxels into a set of first clusters; filtering the set of first clusters to generate a set of second clusters; and filtering the set of second clusters based on a morphologic constraint, thereby identifying an enlarged perivascular space in the MRI dataset.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.