Patent · US Active

Determining characteristics of muscle structures using artificial neural network

US12354730B2 · kind B2 · utility

0Cited by

2References

18Claims

0Family size

Assignees

Siemens Healthineers AG · DE
NEW YORK UNIVERSITY · US

Inventors

Michael Schwier · Hamburg, DE
Bernhard Geiger · Buckenhof, DE
Sasa Grbic · Plainsboro, US
Esther Raithel · Dormitz, DE
Dana Lin · New York, US
Guillaume Chabin · Paris, FR

Key dates

Filing date	May 9, 2022
Grant date	Jul 8, 2025
Priority date	—
Expiry date	Jun 4, 2043

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/20084
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Techniques of determining a quantification of at least one characteristic of a muscle structure comprising at least one muscle and at least one tendon are disclosed. The quantification of the at least one characteristic of the rotator cuff may be determined by using at least one artificial neural network and based on one or more medical images depicting the muscle structure of a patient.

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