Device and method for constructing and displaying high quality images from imaging data by transforming a data structure utilizing machine learning techniques
Patent
·
OSTI ID:1771733
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.
- Research Organization:
- Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- NA0003525
- Assignee:
- National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
- Patent Number(s):
- 10,867,415
- Application Number:
- 16/250,910
- OSTI ID:
- 1771733
- Country of Publication:
- United States
- Language:
- English
A Perspective on Deep Imaging
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journal | January 2016 |
Fully convolutional networks for semantic segmentation
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conference | June 2015 |
Tomographic image reconstruction using filtered back projection (FBP) and algebraic reconstruction technique (ART)
|
conference | May 2015 |
Image reconstruction by domain-transform manifold learning
|
journal | March 2018 |
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