Patent · US Active

Few-view computed tomography reconstruction using deep neural network inference

US11783518B2 · kind B2 · utility

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15Claims

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Assignee

Lawrence Livermore National Security, LLC · US

Inventors

Hyojin Kim · Anyang-si, KR
Rushil Anirudh · Dublin, US
Kyle Champley · Scotia, US

Key dates

Filing date	Sep 30, 2020
Grant date	Oct 10, 2023
Priority date	—
Expiry date	Apr 22, 2041

Classification

Technology area (CPC G)Physics
CPC primaryG06T2211/441
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A system for generating 2D slices of a 3D image of a target volume is provided. The system receives a target sinogram collected during a computed tomography scan of the target volume. The system inputs the target sinogram to a convolutional neural network (CNN) to generate predicted 2D slices of the 3D image. The CNN is trained using training 2D slices of training 3D images. The system initializes 2D slices to the predicted 2D slices. The system reconstructs 2D slices of the 3D image from the target sinogram and the initialized 2D slices.

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