SYSTEMS AND METHODS FOR ITERATIVE MULTI-MATERIAL CORRECTION OF IMAGE DATA

Patent №

US 9,683,948

Granted

2017-06-20

Filed 2013

Owner

GENERAL ELECTRIC COMPANY

Lab

AI components

2

vision · evo

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14070252

Systems and methods for iterative multi-material correction are provided. A system includes an imager that acquires projection data of an object. A reconstructor reconstructs the acquired projection data into a reconstructed image, utilizes the reconstructed image to perform a multi-material correction on the acquired projection data to generate a multi-material corrected reconstructed image, and utilizes the multi-material corrected reconstructed image to perform one or more iterations of the multi-material correction on the projection data to generate an iteratively corrected multi-material corrected image.

VisionEvolutionary computationG01N 23/046A61B 6/032A61B 6/5211A61B 6/5258A61B 6/583G06T 11/005G06T 12/10G16H 50/20+3 more

AI classification

Vision1.00
Evolutionary computation0.96
AI hardware0.13
Natural language0.07
Machine learning0.06
Planning0.01
Speech0.00
Knowledge representation0.00

Ownership

GENERAL ELECTRIC COMPANY

assignment · 315320155

Assignors

GAO, HEWEI, YADAVA, GIRIJESH K., COHEN, ADAM ISRAEL, NETT, BRIAN EDWARD

On an employer assignment, the assignors are typically the inventors.

From the same owner

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