DOE Patents title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Device and method for constructing and displaying high quality images from imaging data by transforming a data structure utilizing machine learning techniques

Abstract

Constructing a computer image from raw imaging data or encoded imaging data by transforming a first data structure in which the raw imaging data or the encoded imaging data is stored into a second data structure storing reorganized imaging data. The raw imaging data or the encoded imaging data is received, stored in the first data structure. The computer reorganizes the raw imaging data or the encoded imaging data into the reorganized data and stores the reorganized data in the second data structure, which is a multi-dimensional array having subarrays containing local information needed by a convolutional neural network for processing the reorganized data. Other portions of the multi-dimensional array store other portions of the raw imaging data or the encoded imaging data. The computer also processes the reorganized data using the convolutional neural network to construct the image, whereby a constructed image is formed.

Inventors:
; ; ; ; ;
Issue Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1771733
Patent Number(s):
10867415
Application Number:
16/250,910
Assignee:
National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
Patent Classifications (CPCs):
H - ELECTRICITY H04 - ELECTRIC COMMUNICATION TECHNIQUE H04N - PICTORIAL COMMUNICATION, e.g. TELEVISION
G - PHYSICS G06 - COMPUTING G06T - IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
DOE Contract Number:  
NA0003525
Resource Type:
Patent
Resource Relation:
Patent File Date: 01/17/2019
Country of Publication:
United States
Language:
English

Citation Formats

Korbin, John P., Peterson, David A., Smith, Matthew David, Martinez, Carianne, Snider, Charles, and Potter, Kevin M. Device and method for constructing and displaying high quality images from imaging data by transforming a data structure utilizing machine learning techniques. United States: N. p., 2020. Web.
Korbin, John P., Peterson, David A., Smith, Matthew David, Martinez, Carianne, Snider, Charles, & Potter, Kevin M. Device and method for constructing and displaying high quality images from imaging data by transforming a data structure utilizing machine learning techniques. United States.
Korbin, John P., Peterson, David A., Smith, Matthew David, Martinez, Carianne, Snider, Charles, and Potter, Kevin M. Tue . "Device and method for constructing and displaying high quality images from imaging data by transforming a data structure utilizing machine learning techniques". United States. https://www.osti.gov/servlets/purl/1771733.
@article{osti_1771733,
title = {Device and method for constructing and displaying high quality images from imaging data by transforming a data structure utilizing machine learning techniques},
author = {Korbin, John P. and Peterson, David A. and Smith, Matthew David and Martinez, Carianne and Snider, Charles and Potter, Kevin M.},
abstractNote = {Constructing a computer image from raw imaging data or encoded imaging data by transforming a first data structure in which the raw imaging data or the encoded imaging data is stored into a second data structure storing reorganized imaging data. The raw imaging data or the encoded imaging data is received, stored in the first data structure. The computer reorganizes the raw imaging data or the encoded imaging data into the reorganized data and stores the reorganized data in the second data structure, which is a multi-dimensional array having subarrays containing local information needed by a convolutional neural network for processing the reorganized data. Other portions of the multi-dimensional array store other portions of the raw imaging data or the encoded imaging data. The computer also processes the reorganized data using the convolutional neural network to construct the image, whereby a constructed image is formed.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {12}
}

Works referenced in this record:

A Perspective on Deep Imaging
journal, January 2016


Fully convolutional networks for semantic segmentation
conference, June 2015


Image reconstruction by domain-transform manifold learning
journal, March 2018


Tomographic image reconstruction using filtered back projection (FBP) and algebraic reconstruction technique (ART)
conference, May 2015