Patent · US Active

Automatic computerized joint segmentation and inflammation quantification in MRI

US11471096B2 · kind B2 · utility

0Cited by

1References

25Claims

0Family size

Assignee

The Chinese University of Hong Kong · CN

Inventors

James M. Griffith · Newport Beach, US
Lin Shi · Hong Kong, CN
Matthew Lun Wong · Hong Kong, CN

Key dates

Filing date	Oct 25, 2019
Grant date	Oct 18, 2022
Priority date	—
Expiry date	Dec 15, 2040

Classification

Technology area (CPC A)Human Necessities
CPC primaryA61B5/7267
WIPO fieldMedical technology
WIPO sectorInstruments

Abstract

Segmentation of bony regions in MRI images of joints is automated using a two-stage process. In a first stage, a machine-learning image-slice categorizer is used to categorize image slices of the MRI image data as belonging to one of a set of image-slice categories, depending on presence or absence of bone and/or tendon in the image slice. In a second stage, a first instance of a machine-learning segmentation classifier is used to segment image slices that contain both bone and tendon into bone and non-bone regions, and a second instance of a machine-learning segmentation classifier is used to segment image slices that contain bone but not tendon into bone regions and non-bone regions. Results from the two segmentation classifiers can be combined across image slices to provide a final segmentation of the bony structures, including inflammatory regions, in the image data.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.