Patent · US Active

Harmonizing diffusion tensor images using machine learning

US11360177B1 · kind B1 · utility

1Cited by

0References

21Claims

0Family size

Assignee

Omniscient Neurotechnology Pty Limited · AU

Inventors

Michael Edward Sughrue · Sydney, AU
Stephane Philippe Doyen · Sydney, AU
Peter James Nicholas · Sydney, AU
Hugh Monro Taylor · Sydney, AU

Key dates

Filing date	Oct 5, 2021
Grant date	Jun 14, 2022
Priority date	—
Expiry date	Oct 5, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06N3/09
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for harmonizing diffusion tensor images. One of the methods includes obtaining a diffusion tensor image; determining a set of RISH features for the diffusion tensor image; processing a model input generated from the set of RISH features using a machine learning model to generate a model output identifying an image transformation from a set of image transformations, wherein each image transformation in the set of image transformations corresponds to a respective different first MRI scanner and represents a transformation that, when applied to first diffusion tensor images captured by the first MRI scanner, harmonizes the first diffusion tensor images with second diffusion tensor images captured by a reference MRI scanner; and processing the diffusion tensor image using the identified image transformation to generate a harmonized diffusion tensor image.

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