Liver fat quantification from DEXA data
US12165323B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 8, 2024 |
| Grant date | Dec 10, 2024 |
| Priority date | — |
| Expiry date | Jan 8, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30056
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An exemplary method for predicting one or more adipose depots for a patient includes receiving one or more Dual-energy X-ray Absorptiometry (DEXA) scans comprising at least a portion of a torso of the patient; providing at least one or more portions of the one or more DEXA scans to a trained machine-learning model, wherein the machine-learning model is trained using a training dataset comprising: a plurality of training DEXA scans of a plurality of subjects and a plurality of corresponding Magnetic Resonance Imaging (MRI)-image-based adiposity scores of the plurality of subjects; and predicting the one or more adipose depots for the patient utilizing the trained machine-learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.