Patent · US Active

System and method for machine learning based trackingless imaging volume reconstruction

US12354274B2 · kind B2 · utility

0Cited by

6References

17Claims

0Family size

Assignee

Rensselaer Polytechnic Institute · US

Inventors

Pingkun Yan · Clifton Park, US
Hengtao Guo · Troy, US

Key dates

Filing date	Dec 22, 2021
Grant date	Jul 8, 2025
Priority date	—
Expiry date	Feb 18, 2043

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/10136
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A method of ultrasound image volume reconstruction includes: providing a convolutional neural network (“CNN”); receiving a first dataset comprising at least one pair of consecutive ultrasound images; inputting the first dataset to the CNN; training the CNN with the first dataset; receiving a second dataset comprising an ultrasound video comprising a plurality of consecutive ultrasound images; inputting the second dataset to the CNN; and processing, by the CNN, the second dataset to produce as output a reconstructed 3D ultrasound image volume.

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