Patent · US Active

System and method for determining a trained neural network model for scattering correction

US10803555B2 · kind B2 · utility

3Cited by

3References

20Claims

0Family size

Assignee

SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD. · CN

Inventors

Yanli Song · Shanghai, CN
Xin Zhou · Shanghai, CN
Xiaodan Xing · Shanghai, CN
Gang Chen · Sammamish, US
Qiang Li · Beijing, CN

Key dates

Filing date	Jul 23, 2018
Grant date	Oct 13, 2020
Priority date	—
Expiry date	Jul 30, 2038

Classification

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

Abstract

A method for generating a trained neural network model for scanning correction corresponding to one or more imaging parameters is provided. The trained neural network model may be trained using training data. The training data may include at least one first set of training data. The first set of training data may be generated according to a process for generating the first set of training data. The process may include obtaining a first image and a second image corresponding to the one or more imaging parameters. The second image may include less scattering noises than the first image. The process may further include determine the first set of training data based on the first image and the second image.

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